();
109 | docs.add( doc1 );
110 | try {
111 | server.add(docs);
112 | UpdateResponse solrResponse = server.commit();
113 | System.out.println(solrResponse.getStatus());
114 | } catch (SolrServerException | IOException e) {
115 | // TODO Auto-generated catch block
116 | e.printStackTrace();
117 | }
118 |
119 | }
120 | }
121 |
--------------------------------------------------------------------------------
/DeepQASupport/.gitignore:
--------------------------------------------------------------------------------
1 | /cyc/
2 | /WordNet-3.0/
3 | /.DS_Store
4 |
--------------------------------------------------------------------------------
/DeepQASupport/.project:
--------------------------------------------------------------------------------
1 |
2 |
3 | DeepQASupport
4 |
5 |
6 |
7 |
8 |
9 | org.eclipse.wst.common.project.facet.core.builder
10 |
11 |
12 |
13 |
14 |
15 | org.eclipse.wst.common.project.facet.core.nature
16 |
17 |
18 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/AUTHORS:
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1 | Cognitive Science Laboratory
2 | Princeton University
3 |
4 | http://wordnet.princeton.edu
5 | wordnet@princeton.edu
6 |
7 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/COPYING:
--------------------------------------------------------------------------------
1 | WordNet Release 3.0
2 |
3 | This software and database is being provided to you, the LICENSEE, by
4 | Princeton University under the following license. By obtaining, using
5 | and/or copying this software and database, you agree that you have
6 | read, understood, and will comply with these terms and conditions.:
7 |
8 | Permission to use, copy, modify and distribute this software and
9 | database and its documentation for any purpose and without fee or
10 | royalty is hereby granted, provided that you agree to comply with
11 | the following copyright notice and statements, including the disclaimer,
12 | and that the same appear on ALL copies of the software, database and
13 | documentation, including modifications that you make for internal
14 | use or for distribution.
15 |
16 | WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.
17 |
18 | THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON
19 | UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
20 | IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON
21 | UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-
22 | ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE
23 | OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT
24 | INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR
25 | OTHER RIGHTS.
26 |
27 | The name of Princeton University or Princeton may not be used in
28 | advertising or publicity pertaining to distribution of the software
29 | and/or database. Title to copyright in this software, database and
30 | any associated documentation shall at all times remain with
31 | Princeton University and LICENSEE agrees to preserve same.
32 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/LICENSE:
--------------------------------------------------------------------------------
1 | WordNet Release 3.0
2 |
3 | This software and database is being provided to you, the LICENSEE, by
4 | Princeton University under the following license. By obtaining, using
5 | and/or copying this software and database, you agree that you have
6 | read, understood, and will comply with these terms and conditions.:
7 |
8 | Permission to use, copy, modify and distribute this software and
9 | database and its documentation for any purpose and without fee or
10 | royalty is hereby granted, provided that you agree to comply with
11 | the following copyright notice and statements, including the disclaimer,
12 | and that the same appear on ALL copies of the software, database and
13 | documentation, including modifications that you make for internal
14 | use or for distribution.
15 |
16 | WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.
17 |
18 | THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON
19 | UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
20 | IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON
21 | UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-
22 | ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE
23 | OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT
24 | INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR
25 | OTHER RIGHTS.
26 |
27 | The name of Princeton University or Princeton may not be used in
28 | advertising or publicity pertaining to distribution of the software
29 | and/or database. Title to copyright in this software, database and
30 | any associated documentation shall at all times remain with
31 | Princeton University and LICENSEE agrees to preserve same.
32 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/README:
--------------------------------------------------------------------------------
1 |
2 | This is the README file for WordNet 3.0
3 |
4 | 1. About WordNet
5 |
6 | WordNet was developed at Princeton University's Cognitive Science
7 | Laboratory under the direction of George Miller, James S. McDonnell
8 | Distinguished University Professor of Psychology, Emeritus. Over the
9 | years many linguists, lexicographers, students, and software engineers
10 | have contributed to the project.
11 |
12 | WordNet is an online lexical reference system. Word forms in WordNet
13 | are represented in their familiar orthography; word meanings are
14 | represented by synonym sets (synsets) - lists of synonymous word forms
15 | that are interchangeable in some context. Two kinds of relations are
16 | recognized: lexical and semantic. Lexical relations hold between word
17 | forms; semantic relations hold between word meanings.
18 |
19 | To learn more about WordNet, the book "WordNet: An Electronic Lexical
20 | Database," containing an updated version of "Five Papers on WordNet"
21 | and additional papers by WordNet users, is available from MIT Press:
22 |
23 | http://mitpress.mit.edu/book-home.tcl?isbn=026206197X
24 |
25 | 2. The WordNet Web Site
26 |
27 | We maintain a Web site at:
28 |
29 | http://wordnet.princeton.edu
30 |
31 | Information about WordNet, access to our online interface, and the
32 | various WordNet packages that you can download are available from our
33 | web site. All of the software documentation is available online, as
34 | well as a FAQ. On this site we also have information about other
35 | applications that use WordNet. If you have an application that you
36 | would like included, please send e-mail to the above address.
37 |
38 | 3. Contacting Us
39 |
40 | Ongoing deveopment work and WordNet related projects are done by a
41 | small group of researchers, lexicographers, and systems programmers.
42 | Since our resources are VERY limited, we request that you please
43 | confine correspondence to WordNet topics only. Please check the
44 | documentation, FAQ, and other resources for the answer to your
45 | question or problem before contacting us.
46 |
47 | If you have trouble installing or downloading WordNet, have a bug to
48 | report, or any other problem, please refer to the online FAQ file
49 | first. If you can heal thyself, please do so. The FAQ will be
50 | updated over time. And if you do find a previously unreported
51 | problem, please use our Bug Report Form:
52 |
53 | http://wordnet.princeton.edu/cgi-bin/bugsubmit.pl
54 |
55 | When reporting a problem, please be as specific as possible, stating
56 | the computer platform you are using, which interface you are using,
57 | and the exact error. The more details you can provide, the more
58 | likely it is that you will get an answer.
59 |
60 | There is a WordNet user discussion group mailing list that we invite
61 | our users to join. Users use this list to ask questions of one
62 | another, announce extensions to WordNet that they've developed, and
63 | other topics of general usefulness to the user community.
64 |
65 | Information on joining the user discussion list, reporting bugs and other
66 | contact information is in found on our website at:
67 |
68 | http://wordnet.princeton.edu/contact
69 |
70 | 4. Current Release
71 |
72 | WordNet Version 3.0 is the latest version available for download. Two
73 | basic database packages are available - one for Windows and one for
74 | Unix platforms (including Mac OS X). See the file ChangeLog (Unix) or
75 | CHANGES.txt (Windows) for a list of changes from previous versions.
76 |
77 | WordNet packages can either be downloaded from our web site via:
78 |
79 | http://wordnet.princeton.edu/obtain
80 |
81 | The Windows package is a self-extracting archive that installs itself
82 | when you double-click on it.
83 |
84 | Beginning with Version 2.1, we changed the Unix package to a GNU Autotools
85 | package. The WordNet browser makes use of the open source Tcl and Tk
86 | packages. Many systems come with either or both pre-installed. If
87 | your system doesn't (some systems have Tcl installed, but not Tk)
88 | Tcl/Tk can be downloaded from:
89 |
90 | http://www.tcl.tk/
91 |
92 | Tcl and Tk must be installed BEFORE you compile WordNet. You must also
93 | have a C compiler before installing Tcl/Tk or WordNet. WordNet has
94 | been built and tested with the GNU gcc compiler. This is
95 | pre-installed on most Unix systems, and can be downloaded from:
96 |
97 | http://gcc.gnu.org/
98 |
99 | See the file INSTALL for detailed WordNet installation instructions.
100 |
101 |
102 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/dict/adv.exc:
--------------------------------------------------------------------------------
1 | best well
2 | better well
3 | deeper deeply
4 | farther far
5 | further far
6 | harder hard
7 | hardest hard
8 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/dict/frames.vrb:
--------------------------------------------------------------------------------
1 | 1 Something ----s
2 | 2 Somebody ----s
3 | 3 It is ----ing
4 | 4 Something is ----ing PP
5 | 5 Something ----s something Adjective/Noun
6 | 6 Something ----s Adjective/Noun
7 | 7 Somebody ----s Adjective
8 | 8 Somebody ----s something
9 | 9 Somebody ----s somebody
10 | 10 Something ----s somebody
11 | 11 Something ----s something
12 | 12 Something ----s to somebody
13 | 13 Somebody ----s on something
14 | 14 Somebody ----s somebody something
15 | 15 Somebody ----s something to somebody
16 | 16 Somebody ----s something from somebody
17 | 17 Somebody ----s somebody with something
18 | 18 Somebody ----s somebody of something
19 | 19 Somebody ----s something on somebody
20 | 20 Somebody ----s somebody PP
21 | 21 Somebody ----s something PP
22 | 22 Somebody ----s PP
23 | 23 Somebody's (body part) ----s
24 | 24 Somebody ----s somebody to INFINITIVE
25 | 25 Somebody ----s somebody INFINITIVE
26 | 26 Somebody ----s that CLAUSE
27 | 27 Somebody ----s to somebody
28 | 28 Somebody ----s to INFINITIVE
29 | 29 Somebody ----s whether INFINITIVE
30 | 30 Somebody ----s somebody into V-ing something
31 | 31 Somebody ----s something with something
32 | 32 Somebody ----s INFINITIVE
33 | 33 Somebody ----s VERB-ing
34 | 34 It ----s that CLAUSE
35 | 35 Something ----s INFINITIVE
36 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/dict/lexnames:
--------------------------------------------------------------------------------
1 | 00 adj.all 3
2 | 01 adj.pert 3
3 | 02 adv.all 4
4 | 03 noun.Tops 1
5 | 04 noun.act 1
6 | 05 noun.animal 1
7 | 06 noun.artifact 1
8 | 07 noun.attribute 1
9 | 08 noun.body 1
10 | 09 noun.cognition 1
11 | 10 noun.communication 1
12 | 11 noun.event 1
13 | 12 noun.feeling 1
14 | 13 noun.food 1
15 | 14 noun.group 1
16 | 15 noun.location 1
17 | 16 noun.motive 1
18 | 17 noun.object 1
19 | 18 noun.person 1
20 | 19 noun.phenomenon 1
21 | 20 noun.plant 1
22 | 21 noun.possession 1
23 | 22 noun.process 1
24 | 23 noun.quantity 1
25 | 24 noun.relation 1
26 | 25 noun.shape 1
27 | 26 noun.state 1
28 | 27 noun.substance 1
29 | 28 noun.time 1
30 | 29 verb.body 2
31 | 30 verb.change 2
32 | 31 verb.cognition 2
33 | 32 verb.communication 2
34 | 33 verb.competition 2
35 | 34 verb.consumption 2
36 | 35 verb.contact 2
37 | 36 verb.creation 2
38 | 37 verb.emotion 2
39 | 38 verb.motion 2
40 | 39 verb.perception 2
41 | 40 verb.possession 2
42 | 41 verb.social 2
43 | 42 verb.stative 2
44 | 43 verb.weather 2
45 | 44 adj.ppl 3
46 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/dict/log.grind.3.0:
--------------------------------------------------------------------------------
1 | Processing adj.all...
2 | Processing adj.pert...
3 | Processing adv.all...
4 | Processing noun.Tops...
5 | noun.Tops, line 7: warning: No hypernyms in synset
6 | Processing noun.act...
7 | Processing noun.animal...
8 | Processing noun.artifact...
9 | Processing noun.attribute...
10 | Processing noun.body...
11 | Processing noun.cognition...
12 | Processing noun.communication...
13 | Processing noun.event...
14 | Processing noun.feeling...
15 | Processing noun.food...
16 | Processing noun.group...
17 | Processing noun.location...
18 | Processing noun.motive...
19 | Processing noun.object...
20 | Processing noun.person...
21 | Processing noun.phenomenon...
22 | Processing noun.plant...
23 | Processing noun.possession...
24 | Processing noun.process...
25 | Processing noun.quantity...
26 | Processing noun.relation...
27 | Processing noun.shape...
28 | Processing noun.state...
29 | Processing noun.substance...
30 | Processing noun.time...
31 | Processing verb.body...
32 | Processing verb.change...
33 | Processing verb.cognition...
34 | Processing verb.communication...
35 | Processing verb.competition...
36 | Processing verb.consumption...
37 | Processing verb.contact...
38 | Processing verb.creation...
39 | Processing verb.emotion...
40 | Processing verb.motion...
41 | Processing verb.perception...
42 | Processing verb.possession...
43 | Processing verb.social...
44 | Processing verb.stative...
45 | Processing verb.weather...
46 | Processing adj.ppl...
47 |
48 | *** Statistics for ground files:
49 |
50 | 82115 noun synsets
51 | 13767 verb synsets
52 | 3812 adj synsets
53 | 3621 adv synsets
54 | 3651 pertainym synsets
55 | 10693 adjective satellite synsets
56 | 117659 synsets in total (including satellite and pertainym synsets)
57 | 82115 noun synsets have definitional glosses
58 | 13767 verb synsets have definitional glosses
59 | 3812 adj synsets have definitional glosses
60 | 3621 adv synsets have definitional glosses
61 | 3651 pertainym synsets have definitional glosses
62 | 10693 adjective satellite synsets have definitional glosses
63 | 117659 definitional glosses in total (including adjective satellite synsets)
64 | 225000 pointers in total
65 | 206978 synonyms in synsets
66 | 147306 unique word phrases
67 | 83118 word phrases of length 1
68 | 54533 word phrases of length 2
69 | 7766 word phrases of length 3
70 | 1454 word phrases of length 4
71 | 298 word phrases of length 5
72 | 80 word phrases of length 6
73 | 28 word phrases of length 7
74 | 20 word phrases of length 8
75 | 9 word phrases of length 9
76 |
77 | Resolving pointers...
78 | Done resolving pointers...
79 | Getting sense counts...
80 | Done with sense counts...
81 | Figuring out byte offsets...
82 | Dumping data files...
83 | Done dumping data files...
84 | Cannot open file: cntlist
85 | Cannot order senses
86 | Dumping index files...
87 | Done dumping index files...
88 | Dumping sense index...
89 | Done dumping sense index...
90 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/dict/verb.Framestext:
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1 | 1 Something ----s
2 | 2 Somebody ----s
3 | 3 It is ----ing
4 | 4 Something is ----ing PP
5 | 5 Something ----s something Adjective/Noun
6 | 6 Something ----s Adjective/Noun
7 | 7 Somebody ----s Adjective
8 | 8 Somebody ----s something
9 | 9 Somebody ----s somebody
10 | 10 Something ----s somebody
11 | 11 Something ----s something
12 | 12 Something ----s to somebody
13 | 13 Somebody ----s on something
14 | 14 Somebody ----s somebody something
15 | 15 Somebody ----s something to somebody
16 | 16 Somebody ----s something from somebody
17 | 17 Somebody ----s somebody with something
18 | 18 Somebody ----s somebody of something
19 | 19 Somebody ----s something on somebody
20 | 20 Somebody ----s somebody PP
21 | 21 Somebody ----s something PP
22 | 22 Somebody ----s PP
23 | 23 Somebody's (body part) ----s
24 | 24 Somebody ----s somebody to INFINITIVE
25 | 25 Somebody ----s somebody INFINITIVE
26 | 26 Somebody ----s that CLAUSE
27 | 27 Somebody ----s to somebody
28 | 28 Somebody ----s to INFINITIVE
29 | 29 Somebody ----s whether INFINITIVE
30 | 30 Somebody ----s somebody into V-ing something
31 | 31 Somebody ----s something with something
32 | 32 Somebody ----s INFINITIVE
33 | 33 Somebody ----s VERB-ing
34 | 34 It ----s that CLAUSE
35 | 35 Something ----s INFINITIVE
36 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/doc/html/binsrch.3WN.html:
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1 |
2 |
3 |
4 |
5 |
6 | BINSRCH(3WN) manual page
7 |
8 |
9 | Table of Contents
10 |
11 |
12 | bin_search, copyfile, replace_line, insert_line
13 |
14 |
15 | char *bin_search(char
16 | *key, FILE *fp);
17 | void copyfile(FILE *fromfp, FILE *tofp);
18 | char *replace_line(char
19 | *new_line, char *key, FILE *fp);
20 | char *insert_line(char *new_line, char
21 | *key, FILE *fp);
22 |
23 |
24 | The WordNet library contains several general
25 | purpose functions for performing a binary search and modifying sorted
26 | files.
27 | bin_search() is the primary binary search algorithm to search for
28 | key as the first item on a line in the file pointed to by fp . The delimiter
29 | between the key and the rest of the fields on the line, if any, must be
30 | a space. A pointer to a static variable containing the entire line is
31 | returned. NULL
32 | is returned if a match is not found.
33 | The remaining functions
34 | are not used by WordNet, and are only briefly described.
35 | copyfile() copies
36 | the contents of one file to another.
37 | replace_line() replaces a line in
38 | a file having searchkey key with the contents of new_line . It returns
39 | the original line or NULL
40 | in case of error.
41 | insert_line() finds the proper
42 | place to insert the contents of new_line , having searchkey key in the
43 | sorted file pointed to by fp . It returns NULL
44 | if a line with this searchkey
45 | is already in the file.
46 |
47 | The maximum length of key is 1024.
48 | The
49 | maximum line length in a file is 25K.
50 | If there are no additional fields
51 | after the search key, the key must be followed by at least one space before
52 | the newline character.
53 |
54 | wnintro(3WN)
55 | , morph(3WN)
56 | , wnsearch(3WN)
57 | ,
58 | wnutil(3WN)
59 | , wnintro(5WN)
60 | .
61 |
62 | binsearch() returns a pointer to
63 | a static character buffer. The returned string should be copied by the
64 | caller if the results need to be saved, as a subsequent call will replace
65 | the contents of the static buffer.
66 |
67 |
68 |
69 | Table of Contents
70 |
78 |
79 |
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/DeepQASupport/WordNet-3.0/doc/html/uniqbeg.7WN.html:
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1 |
2 |
3 |
4 |
5 |
6 | UNIQBEG(7WN) manual page
7 |
8 |
9 | Table of Contents
10 |
11 |
12 | uniqbeg - unique beginners for noun hierarchies
13 |
14 | All
15 | of the WordNet noun synsets are organized into hierarchies, headed by
16 | the unique beginner synset for entity in the file noun.Tops .
17 |
{ entity
18 | (that which is perceived or known or inferred to have its own
19 | distinct
20 | existence (living or nonliving)) }
21 |
22 |
23 |
24 |
25 | The lexicographer files are
26 | not included in the WordNet database package.
27 |
28 |
29 |
30 |
31 | - noun.Tops
32 | - unique beginners
33 | for nouns
34 |
35 |
36 |
37 | wndb(5WN)
38 | , wninput(5WN)
39 | , wnintro(7WN)
40 | , wngloss(7WN)
41 | .
42 |
43 |
44 |
45 | Table of Contents
46 |
53 |
54 |
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/DeepQASupport/WordNet-3.0/doc/html/wngroups.7WN.html:
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1 |
2 |
3 |
4 |
5 |
6 | WNGROUPS(7WN) manual page
7 |
8 |
9 | Table of Contents
10 |
11 |
12 | wngroups - discussion of WordNet search code to group similar verb
13 | senses
14 |
15 | Some similar senses of verbs have been grouped by
16 | the lexicographers. This grouping is done statically in the lexicographer
17 | source files using the semantic pointer_symbol $ . Transitivity is used
18 | to combine groups of overlapping senses into the largest sense groups
19 | possible.
20 |
21 | Coverage of verb groups is incomplete.
22 |
24 |
25 |
26 |
27 | - WNHOME
28 | - Base directory for WordNet. Default is /usr/local/WordNet-3.0
29 | .
30 |
31 | - WNSEARCHDIR
32 | - Directory in which the WordNet database has been installed.
33 | Default is WNHOME/dict .
34 |
35 |
36 |
37 |
38 |
39 |
40 | - HKEY_LOCAL_MACHINE\SOFTWARE\WordNet\3.0\WNHome
41 |
42 | - Base directory for WordNet. Default is C:\Program Files\WordNet\3.0 .
43 |
44 |
45 |
47 |
48 |
49 |
50 | - sentidx.vrb
51 | - verb sense keys and sentence frame numbers
52 |
53 | - sents.vrb
54 | - example
55 | sentence frames
56 |
57 |
58 |
59 | wn(1WN)
60 | , wnb(1WN)
61 | , senseidx(5WN)
62 | , wnsearch(3WN)
63 | ,
64 | wndb(5WN)
65 | , wnintro(7WN)
66 | .
67 |
68 |
69 |
70 | Table of Contents
71 |
80 |
81 |
--------------------------------------------------------------------------------
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1 |
2 |
3 |
4 |
5 |
6 | WNINTRO(1WN) manual page
7 |
8 |
9 | Table of Contents
10 |
11 |
12 | wnintro - WordNet user commands
13 |
14 |
15 | wn - command line interface
16 | to WordNet database
17 | wnb - window based WordNet browser
18 |
19 | This
20 | section of the WordNet Reference Manual contains manual pages that describe
21 | commands available with the various WordNet system packages.
22 | The WordNet
23 | interfaces wn(1WN)
24 | and wnb(1WN)
25 | allow the user to search the WordNet
26 | database and display the information textually.
27 |
29 |
30 |
31 |
32 | - WNHOME
33 | - Base directory for WordNet. Default is /usr/local/WordNet-3.0
34 | .
35 |
36 | - WNSEARCHDIR
37 | - Directory in which the WordNet database has been installed.
38 | Default is WNHOME/dict .
39 |
40 |
41 |
42 |
43 |
44 |
45 | - HKEY_LOCAL_MACHINE\SOFTWARE\WordNet\3.0\WNHome
46 |
47 | - Base directory for WordNet. Default is C:\Program Files\WordNet\3.0 .
48 |
49 |
50 |
52 | grind(1WN)
53 | , wn(1WN)
54 | , wnb(1WN)
55 | , wnintro(3WN)
56 | , wnintro(5WN)
57 | , wnintro(7WN)
58 | .
59 |
60 | Fellbaum, C. (1998), ed. "WordNet: An Electronic Lexical Database" . MIT
61 | Press, Cambridge, MA.
62 |
63 | WordNet has a World Wide Web site at
64 | http://wordnet.princeton.edu
65 | . From this web site users can learn about
66 | the WordNet project, run several different interfaces to the WordNet database,
67 | and download various WordNet system packages and "Five Papers on WordNet"
68 | .
69 |
70 |
71 | Table of Contents
72 |
81 |
82 |
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/DeepQASupport/WordNet-3.0/doc/html/wnintro.5WN.html:
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1 |
2 |
3 |
4 |
5 |
6 | WNINTRO(5WN) manual page
7 |
8 |
9 | Table of Contents
10 |
11 |
12 | wnintro - introduction to descriptions of WordNet file formats
13 |
14 |
15 |
16 | cntlist - format of cntlist and cntlist.rev files
17 | lexnames
18 | - list of lexicographer file names and numbers
19 | prologdb - description of
20 | Prolog database files
21 | senseidx - format of sense index file
22 | sensemap
23 | - mapping from senses in WordNet 2.1 to corresponding 3.0 senses
24 | wndb - format
25 | of WordNet database files
26 | wninput - format of WordNet lexicographer files
27 |
28 |
29 | This section of the WordNet Reference Manual contains manual
30 | pages that describe the formats of the various files included in different
31 | WordNet 3.0 packages.
32 |
33 | All files are in ASCII. Fields are generally
34 | separated by one space, unless otherwise noted, and each line is terminated
35 | with a newline character. In the file format descriptions, terms in italics
36 | refer to field names. Characters or strings in boldface represent an
37 | actual character or string as it appears in the file. Items enclosed in
38 | italicized square brackets ([ ] ) may not be present. Since several files
39 | contain fields that have the identical meaning, field names are consistently
40 | defined. For example, several WordNet files contain one or more synset_offset
41 | fields. In each case, the definition of synset_offset is identical.
42 |
43 |
44 | wnintro(1WN)
45 | , wnintro(3WN)
46 | , cntlist(5WN)
47 | , lexnames(5WN)
48 | , prologdb(5WN)
49 | ,
50 | senseidx(5WN)
51 | , sensemap(5WN)
52 | , wndb(5WN)
53 | , wninput(5WN)
54 | , wnintro(7WN)
55 | , wngloss(7WN)
56 | .
57 |
58 | Fellbaum, C. (1998), ed. "WordNet: An Electronic Lexical Database" . MIT
59 | Press, Cambridge, MA.
60 |
61 |
62 |
63 | Table of Contents
64 |
71 |
72 |
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1 |
2 |
3 |
4 |
5 |
6 | WNINTRO(7WN) manual page
7 |
8 |
9 | Table of Contents
10 |
11 |
12 | wnintro - introduction to miscellaneous WordNet information
13 |
15 |
16 | morphy - discussion of WordNet's morphological processing
17 | uniqbeg - unique
18 | beginners for noun hierarchies
19 | wngloss - glossary of terms used in WordNet
20 |
21 | wngroups - discussion of WordNet search code to group similar senses
22 | wnlicens
23 | - text of WordNet license agreement
24 | wnpkgs - information about WordNet
25 | packages and distribution
26 | wnstats - database statistics
27 |
28 | This
29 | section of the WordNet Reference Manual contains manual pages that describe
30 | various topics related to WordNet and the semantic concordances, and a
31 | glossary of terms.
32 |
33 | wnintro(1WN)
34 | , wnintro(3WN)
35 | , wnintro(5WN)
36 | ,
37 | morphy(7WN)
38 | , uniqbeg(7WN)
39 | , wngroups(7WN)
40 | , wnlicens(7WN)
41 | , wnpkgs(7WN)
42 | ,
43 | wnstats(7WN)
44 | , wngloss(7WN)
45 | .
46 | Fellbaum, C. (1998), ed. "WordNet: An Electronic
47 | Lexical Database" . MIT Press, Cambridge, MA.
48 |
49 |
50 | Table of Contents
51 |
57 |
58 |
--------------------------------------------------------------------------------
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1 |
2 |
3 |
4 |
5 |
6 | WNLICENS(7WN) manual page
7 |
8 |
9 | Table of Contents
10 |
11 |
12 | wnlicens - text of WordNet license
13 |
14 | WordNet Release 3.0
15 |
16 | This software and database is being provided to you, the LICENSEE, by
17 | Princeton University under the following license. By obtaining, using
18 | and/or copying this software and database, you agree that you have
19 | read, understood, and will comply with these terms and conditions.:
20 | Permission to use, copy, modify and distribute this software and
21 | database and its documentation for any purpose and without fee or royalty
22 | is hereby granted, provided that you agree to comply with the following
23 | copyright notice and statements, including the disclaimer, and that
24 | the same appear on ALL copies of the software, database and documentation,
25 | including modifications that you make for internal use or for distribution.
26 | WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.
27 | THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON UNIVERSITY
28 | MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF
29 | EXAMPLE, BUT NOT LIMITATION, PRINCETON UNIVERSITY MAKES NO REPRESENTATIONS
30 | OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE
31 | OR THAT THE USE OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION
32 | WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR
33 | OTHER RIGHTS. The name of Princeton University or Princeton may
34 | not be used in advertising or publicity pertaining to distribution of
35 | the software and/or database. Title to copyright in this software, database
36 | and any associated documentation shall at all times remain with Princeton
37 | University and LICENSEE agrees to preserve same.
38 |
39 |
40 | Table of Contents
41 |
45 |
46 |
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1 |
2 |
3 |
4 |
5 |
6 | WNPKGS(7WN) manual page
7 |
8 |
9 | Table of Contents
10 |
11 |
12 | wnpkgs - description of various WordNet system packages
13 |
15 | WordNet 3.0 is distributed in several formats and in various packages. All
16 | of the packages are available via anonymous FTP from ftp.cogsci.princeton.edu
17 | and from the WordNet Web site at http://wordnet.princeton.edu
18 | .
19 |
21 | The following WordNet packages can be downloaded
22 | using a web browser from ftp://ftp.cogsci.princeton.edu/wordnet/3.0 , or from
23 | the Web site noted above. Users can also FTP directly from ftp.cogsci.princeton.edu
24 | , directory wordnet/3.0 .
25 |
26 | Package | Filename | Platform | Description
27 | |
28 |
Database | WordNet-3.0.tar.gz | Unix/OS X | WordNet 3.0 database, interfaces,
29 | sense index, interface and library source code, documentation. |
30 | Database
31 | | WordNet-3.0.exe | Windows | WordNet 3.0 database, interfaces, sense index,
32 | interface and library source code, documentation. |
33 | Prolog Database |
34 | WNprolog-3.0.tar.gz | All | WordNet 3.0 database files in Prolog-readable format,
35 | documentation. |
36 | Sense Map | WNsnsmap-3.0.tar.gz | All | Mapping of 2.1 to 3.0
37 | senses, documentation. |
38 |
39 |
40 |
41 |
42 | The database package is a
43 | complete installation for WordNet 3.0 users. It includes the 3.0 database
44 | files, source code for the WordNet browsers and library, and documentation.
45 | The other packages are not included - they must be downloaded and installed
46 | separately.
47 | Note that with this version of WordNet for Unix platforms,
48 | only source code is provided. Users should carefully read the README and
49 | INSTALL files for detailed information on compiling WordNet and dependencies.
50 |
51 |
52 |
53 | The WordNet 3.0 database files are available
54 | in this package in a Prolog-readable format. Documentation describing the
55 | file format is included. This package is only downloadable in compressed
56 | tar file format, although once unpackaged it can be used from Windows
57 | systems since the files are in ASCII. Many Windows utilities, such as
58 | WinZip, can deal with a compressed tar file.
59 |
60 | To help
61 | users automatically convert 2.1 noun and verb senses to their corresponding
62 | 3.0 senses, we provide sense mapping information in this package. This
63 | package contains files to map polysemous and monosemous words, and documentation
64 | that describes the format of these files. As with the Prolog database,
65 | this package is only downloadable in compressed tar format, but the files
66 | are also in ASCII.
67 |
68 | The lexicographer files and grind(1WN)
69 | program
70 | are not generally distributed.
71 | All of the packages described above may
72 | not be available at the time of release of the 3.0 database package.
73 |
75 | wnintro(1WN)
76 | , wnintro(3WN)
77 | , wnintro(5WN)
78 | , wnintro(7WN)
79 | .
80 |
81 |
82 | Table of Contents
83 |
95 |
96 |
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/DeepQASupport/WordNet-3.0/doc/html/wnstats.7WN.html:
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1 |
2 |
3 |
4 |
5 |
6 | WNSTATS(7WN) manual page
7 |
8 |
9 | Table of Contents
10 |
11 |
12 | wnstats - WordNet 3.0 database statistics
13 |
14 |
15 |
17 |
18 | POS | Unique | Synsets | Total |
19 | | Strings
20 | | | Word-Sense Pairs |
21 |
Noun | 117798 | 82115 | 146312 |
22 | Verb | 11529 |
23 | 13767 | 25047 |
24 | Adjective | 21479 | 18156 | 30002 |
25 | Adverb | 4481 | 3621 |
26 | 5580 |
27 |
Totals | 155287 | 117659 | 206941 |
28 |
29 |
30 |
31 |
32 |
33 |
34 |
35 | POS | Monosemous | Polysemous | Polysemous |
36 | | Words and Senses | Words
37 | | Senses |
38 |
Noun | 101863 | 15935 | 44449 |
39 | Verb | 6277 | 5252 | 18770 |
40 |
41 | Adjective | 16503 | 4976 | 14399 |
42 | Adverb | 3748 | 733 | 1832 |
43 |
Totals
44 | | 128391 | 26896 | 79450 |
45 |
46 |
47 |
48 | POS | Average Polysemy | Average Polysemy
49 | |
50 | | Including Monosemous Words | Excluding Monosemous Words |
51 |
Noun
52 | | 1.24 | 2.79 |
53 | Verb | 2.17 | 3.57 |
54 | Adjective | 1.40 | 2.71 |
55 | Adverb | 1.25 | 2.50
56 | |
57 |
58 |
59 |
60 |
61 | Statistics for all types of adjectives and adjective satellites
62 | are combined.
63 | The total of all unique noun, verb, adjective, and adverb
64 | strings is actually 147278. However, many strings are unique within a syntactic
65 | category, but are in more than one syntactic category. The figures in
66 | the table represent the unique strings in each syntactic category.
67 |
68 |
69 |
70 | Table of Contents
71 |
80 |
81 |
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/DeepQASupport/WordNet-3.0/doc/man/binsrch.3:
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1 | '\" t
2 | .\" $Id$
3 | .TH BINSRCH 3WN "Dec 2006" "WordNet 3.0" "WordNet\(tm Library Functions"
4 | .SH NAME
5 | bin_search, copyfile, replace_line, insert_line
6 | .SH SYNOPSIS
7 | .LP
8 | \fBchar *bin_search(char *key, FILE *fp);\fP
9 | .LP
10 | \fBvoid copyfile(FILE *fromfp, FILE *tofp);\fP
11 | .LP
12 | \fBchar *replace_line(char *new_line, char *key, FILE *fp);\fP
13 | .LP
14 | \fBchar *insert_line(char *new_line, char *key, FILE *fp);\fP
15 | .SH DESCRIPTION
16 | .LP
17 | The WordNet library contains several general purpose functions for
18 | performing a binary search and modifying sorted files.
19 | .LP
20 | .B bin_search(\|)
21 | is the primary binary search algorithm to search for \fIkey\fP as the
22 | first item on a line in the file pointed to by \fIfp\fP. The
23 | delimiter between the key and the rest of the fields on the line, if
24 | any, must be a space. A pointer to a static variable containing the
25 | entire line is returned.
26 | .SB NULL
27 | is returned if a match is not found.
28 | .LP
29 | The remaining functions are not used by WordNet, and are only briefly
30 | described.
31 | .LP
32 | .B copyfile(\|)
33 | copies the contents of one file to another.
34 | .LP
35 | .B replace_line(\|)
36 | replaces a line in a file having searchkey \fIkey\fP
37 | with the contents of \fInew_line\fP.
38 | It returns the original line or
39 | .SB NULL
40 | in case of error.
41 | .LP
42 | .B insert_line(\|)
43 | finds the proper place to insert the contents of \fInew_line\fP,
44 | having searchkey \fIkey\fP in the sorted file pointed to by \fIfp\fP.
45 | It returns
46 | .SB NULL
47 | if a line with this searchkey is already in the file.
48 | .SH NOTES
49 | The maximum length of \fIkey\fP is 1024.
50 |
51 | The maximum line length in a file is 25K.
52 |
53 | If there are no additional fields after the search key, the key must
54 | be followed by at least one space before the newline character.
55 | .SH SEE ALSO
56 | .BR wnintro (3WN),
57 | .BR morph (3WN),
58 | .BR wnsearch (3WN),
59 | .BR wnutil (3WN),
60 | .BR wnintro (5WN).
61 | .SH WARNINGS
62 | \fBbinsearch(\|)\fP returns a pointer to a static character buffer.
63 | The returned string should be copied by the caller if the results need
64 | to be saved, as a subsequent call will replace the contents of the
65 | static buffer.
66 |
67 |
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/DeepQASupport/WordNet-3.0/doc/man/cntlist.5:
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1 | '\" t
2 | .\" $Id$
3 | .tr ~
4 | .TH CNTLIST 5WN "Dec 2006" "WordNet 3.0" "WordNet\(tm File Formats"
5 | .SH NAME
6 | cntlist \- file listing number of times each tagged sense occurs in a
7 | semantic concordance, sorted most to least frequently tagged
8 |
9 | cntlist.rev \- file listing number of times each tagged sense occurs
10 | in a semantic concordance, sorted by sense key
11 | .SH DESCRIPTION
12 | A cntlist file for a semantic concordance lists the number of times
13 | each semantically tagged sense occurs in the concordance and its
14 | sense number in the WordNet database. Each line in the file
15 | corresponds to a sense in the WordNet database to which at least one
16 | semantic tag points. Only senses that are tagged in a concordance are
17 | in the concordance's cntlist file.
18 |
19 | .SS WordNet Database \fIcntlist\fP File
20 | In the WordNet database, words are assigned sense numbers based on
21 | frequency of use in semantically tagged corpora. The cntlist file used
22 | by
23 | .BR grind (1WN)
24 | to build the WordNet database and assign the sense numbers is a union
25 | of the cntlist files from the various semantic concordances that were
26 | formerly released by Princeton University. This
27 | combined cntlist file is provided with the WordNet package and is
28 | found in the \fBWNSEARCHDIR\fP directory.
29 |
30 | The \fIcntlist.rev\fP file is used at run-time by the WordNet
31 | library code and browser interfaces to print in the output display the
32 | number of times each sense has been tagged.
33 | .SS File Format
34 | Each line in a cntlist file contains information for one sense. The
35 | file is ordered from most to least frequently tagged sense. The
36 | fields are separated by one space, and each line is terminated with a
37 | newline character. Senses having the same \fItag_cnt\fP value are
38 | listed in reverse alphabetical order of the \fIlemma\fP field of the
39 | \fIsense_key\fP.
40 |
41 | Each line in \fBcntlist\fP is of the form:
42 |
43 | .RS
44 | \fItag_cnt~~sense_key~~sense_number\fP
45 | .RE
46 |
47 | where \fItag_cnt\fP is the decimal number of times the sense is tagged
48 | in the corresponding semantic concordance. \fIsense_key\fP is a
49 | WordNet sense encoding and \fIsense_number\fP is a WordNet sense
50 | number as described in
51 |
52 | The \fIcntlist.rev\fP file contains the same fields described above,
53 | in the following order:
54 |
55 | .RS
56 | \fIsense_key~~sense_number~~tag_cnt\fP
57 | .RE
58 |
59 | .SH NOTES
60 | Princeton no longer maintains or releases the Semantic Concordance
61 | files. The \fIcntlist\fP file used to order the senses in WordNet
62 | 3.0 was generated from the Semantic Concordance files at the point
63 | that they were last updated in 2001. In general, the order of senses
64 | presented usually reflects what the user would expect, however sense
65 | ordering is now less reliable than in prior releases and should not be
66 | construed as an accurate indicator of frequency of use.
67 | .SH ENVIRONMENT VARIABLES (UNIX)
68 | .TP 20
69 | .B WNHOME
70 | Base directory for WordNet. Default is
71 | \fB/usr/local/WordNet-3.0\fP.
72 | .TP 20
73 | .B WNSEARCHDIR
74 | Directory in which the WordNet database has been installed.
75 | Default is \fBWNHOME/dict\fP.
76 | .SH REGISTRY (WINDOWS)
77 | .TP 20
78 | .B HKEY_LOCAL_MACHINE\eSOFTWARE\eWordNet\e3.0\eWNHome
79 | Base directory for WordNet. Default is
80 | \fBC:\eProgram~Files\eWordNet\e3.0\fP.
81 | .TP 20
82 | .B HKEY_CURRENT_USER\eSOFTWARE\eWordNet\e3.0\ewnres
83 | User's default browser options.
84 | .SH FILES
85 | .TP 20
86 | .B cntlist, cntlist.rev
87 | file of combined semantic concordance \fBcntlist\fP files. Used to
88 | assign sense numbers in WordNet database
89 | .SH SEE ALSO
90 | .BR grind (1WN),
91 | .BR wnintro (5WN),
92 | .BR senseidx (5WN).
93 |
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/DeepQASupport/WordNet-3.0/doc/man/morph.3:
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1 | '\" t
2 | .\" $Id$
3 | .TH MORPH 3WN "Dec 2006" "WordNet 3.0" "WordNet\(tm Library Functions"
4 | .SH NAME
5 | morphinit, re_morphinit, morphstr, morphword
6 | .SH SYNOPSIS
7 | .LP
8 | \fB#include "wn.h"\fP
9 | .LP
10 | \fBint morphinit(void);\fP
11 | .LP
12 | \fBint re_morphinit(void);\fP
13 | .LP
14 | \fBchar *morphstr(char *origstr, int pos);\fP
15 | .LP
16 | \fBchar *morphword(char *word, int pos);\fP
17 | .SH DESCRIPTION
18 | .LP
19 | The WordNet morphological processor, Morphy, is accessed through these
20 | functions:
21 | .LP
22 | .B morphinit(\|)
23 | is used to open the exception list files. It returns \fB0\fP if
24 | successful, \fB-1\fP otherwise. The exception list files must be
25 | opened before
26 | .B morphstr(\|)
27 | or
28 | .B morphword(\)
29 | are called.
30 | .LP
31 | .B re_morphinit(\|)
32 | is used to close the exception list files and reopen them, and is used
33 | exclusively for WordNet development. Return codes are as described
34 | above.
35 | .LP
36 | .B morphstr(\|)
37 | is the basic user interface to Morphy. It tries to find the base form
38 | (lemma) of the word or collocation \fIorigstr\fP in the specified
39 | \fIpos\fP. The first call (with \fIorigstr\fP specified) returns a
40 | pointer to the first base form found. Subsequent calls requesting
41 | base forms of the same string must be made with the first argument of
42 | .SB NULL.
43 | When no more base forms for \fIorigstr\fP can be found,
44 | .SB NULL
45 | is returned. Note that \fBmorphstr()\fP returns a pointer to a static
46 | character buffer. A subsequent call to \fBmorphstr()\fP with a new
47 | string (instead of \fBNULL\fP) will overwrite the string pointed to by
48 | a previous call. Users should copy the returned string into a local
49 | buffer, or use the C library function \fBstrdup\fP to duplicate the
50 | returned string into a \fImalloc'd\fP buffer.
51 | .LP
52 | .B morphword(\|)
53 | tries to find the base form of \fIword\fP in the specified \fIpos\fP.
54 | This function is called by
55 | .B morphstr(\|)
56 | for each individual word in a collocation.
57 | Note that \fBmorphword()\fP returns a pointer to a static
58 | character buffer. A subsequent call to \fBmorphword()\fP
59 | will overwrite the string pointed to by
60 | a previous call. Users should copy the returned string into a local
61 | buffer, or use the C library function \fBstrdup\fP to duplicate the
62 | returned string into a \fImalloc'd\fP buffer.
63 | .SH NOTES
64 | .B morphinit(\|)
65 | is called by
66 | .B wninit(\|)
67 | and is not intended to be called directly by an application.
68 | Applications wishing to use WordNet and/or the morphological functions
69 | must call \fBwninit(\|)\fP at the start of the program. See
70 | .BR wnutil (3WN)
71 | for more information.
72 |
73 | \fIorigstr\fP may be either a word or a collocation formed by joining
74 | individual words with underscore characters (\fB_\fP).
75 |
76 | Usually only \fBmorphstr(\|)\fP is called from applications, as it
77 | works on both words and collocations.
78 |
79 | \fIpos\fP must be one of the following:
80 |
81 | .RS
82 | .nf
83 | \fB1\fP NOUN
84 | \fB2\fP VERB
85 | \fB3\fP ADJECTIVE
86 | \fB4\fP ADVERB
87 | \fB5\fP ADJECTIVE_SATELLITE
88 | .fi
89 | .RE
90 |
91 | If
92 | .SB ADJECTIVE_SATELLITE
93 | is passed, it is treated by \fBmorphstr(\|)\fP as
94 | .SB ADJECTIVE.
95 | .SH SEE ALSO
96 | .BR wnintro (3WN),
97 | .BR wnsearch (3WN),
98 | .BR wndb (5WN),
99 | .BR morphy (7WN).
100 |
101 | .SH WARNINGS
102 | Passing an invalid part of speech will result in a core dump.
103 |
104 | The WordNet database files must be open to use \fBmorphstr(\|)\fP or
105 | \fBmorphword(\|).
106 |
107 | .SH BUGS
108 | Morphy will allow non-words to be converted to words, if they follow
109 | one of the rules described above. For example, it will happily
110 | convert \fBplantes\fP to \fBplants\fP.
111 |
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/DeepQASupport/WordNet-3.0/doc/man/uniqbeg.7:
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1 | '\" t
2 | .\" $Id$
3 | .TH UNIQBEG 7WN "Dec 2006" "WordNet 3.0" "WordNet\(tm"
4 | .SH NAME
5 | uniqbeg \- unique beginners for noun hierarchies
6 | .SH DESCRIPTION
7 | All of the WordNet noun synsets are organized into hierarchies, headed
8 | by the unique beginner synset for \fBentity\fP in the file
9 | \fBnoun.Tops\fP.
10 |
11 | .RS
12 | .nf
13 | { entity (that which is perceived or known or inferred to have its own
14 | distinct existence (living or nonliving)) }
15 |
16 | .fi
17 | .RE
18 | .SH NOTES
19 | The lexicographer files are not included in the WordNet database package.
20 | .SH FILES
21 | .TP 20
22 | .B noun.Tops
23 | unique beginners for nouns
24 | .SH SEE ALSO
25 | .BR wndb (5WN),
26 | .BR wninput (5WN),
27 | .BR wnintro (7WN),
28 | .BR wngloss (7WN).
29 |
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/DeepQASupport/WordNet-3.0/doc/man/wngroups.7:
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1 | '\" t
2 | .\" $Id$
3 | .tr ~
4 | .TH WNGROUPS 7WN "Dec 2006" "WordNet 3.0" "WordNet\(tm"
5 | .SH NAME
6 | wngroups \- discussion of WordNet search code to group similar verb senses
7 | .SH DESCRIPTION
8 | Some similar senses of verbs have been grouped by the lexicographers.
9 | This grouping is done statically in the lexicographer source files
10 | using the semantic \fIpointer_symbol\fP \fB$\fP.
11 | Transitivity is used to combine groups of overlapping
12 | senses into the largest sense groups possible.
13 | .SH NOTES
14 | Coverage of verb groups is incomplete.
15 | .SH ENVIRONMENT VARIABLES (UNIX)
16 | .TP 20
17 | .B WNHOME
18 | Base directory for WordNet. Default is
19 | \fB/usr/local/WordNet-3.0\fP.
20 | .TP 20
21 | .B WNSEARCHDIR
22 | Directory in which the WordNet database has been installed.
23 | Default is \fBWNHOME/dict\fP.
24 | .SH REGISTRY (WINDOWS)
25 | .TP 20
26 | .B HKEY_LOCAL_MACHINE\eSOFTWARE\eWordNet\e3.0\eWNHome
27 | Base directory for WordNet. Default is
28 | \fBC:\eProgram~Files\eWordNet\e3.0\fP.
29 | .SH FILES
30 | .TP 20
31 | .B sentidx.vrb
32 | verb sense keys and sentence frame numbers
33 | .TP 20
34 | .B sents.vrb
35 | example sentence frames
36 | .SH SEE ALSO
37 | .BR wn (1WN),
38 | .BR wnb (1WN),
39 | .BR senseidx (5WN),
40 | .BR wnsearch (3WN),
41 | .BR wndb (5WN),
42 | .BR wnintro (7WN).
43 |
44 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/doc/man/wnintro.1:
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1 | '\" t
2 | .\" $Id$
3 | .tr ~
4 | .TH WNINTRO 1WN "Dec 2006" "WordNet 3.0" "WordNet\(tm User Commands"
5 | .SH NAME
6 | wnintro \- WordNet user commands
7 | .SH SYNOPSIS
8 | .LP
9 | \fBwn\fP \- command line interface to WordNet database
10 | .LP
11 | \fBwnb\fP \- window based WordNet browser
12 | .SH DESCRIPTION
13 | This section of the \fIWordNet Reference Manual\fP contains manual
14 | pages that describe commands available with the various WordNet system
15 | packages.
16 |
17 | The WordNet interfaces
18 | .BR wn (1WN)
19 | and
20 | .BR wnb (1WN)
21 | allow the user to search the WordNet database and display the
22 | information textually.
23 | .SH ENVIRONMENT VARIABLES (UNIX)
24 | .TP 20
25 | .B WNHOME
26 | Base directory for WordNet. Default is
27 | \fB/usr/local/WordNet-3.0\fP.
28 | .TP 20
29 | .B WNSEARCHDIR
30 | Directory in which the WordNet database has been installed.
31 | Default is \fBWNHOME/dict\fP.
32 | .SH REGISTRY (WINDOWS)
33 | .TP 20
34 | .B HKEY_LOCAL_MACHINE\eSOFTWARE\eWordNet\e3.0\eWNHome
35 | Base directory for WordNet. Default is
36 | \fBC:\eProgram~Files\eWordNet\e3.0\fP.
37 | .SH SEE ALSO
38 | .BR grind (1WN),
39 | .BR wn (1WN),
40 | .BR wnb (1WN),
41 | .BR wnintro (3WN),
42 | .BR wnintro (5WN),
43 | .BR wnintro (7WN).
44 | .LP
45 | Fellbaum, C. (1998), ed.
46 | \fI"WordNet: An Electronic Lexical Database"\fP.
47 | MIT Press, Cambridge, MA.
48 | .SH AVAILABILITY
49 | WordNet has a World Wide Web site at
50 | \fBhttp://wordnet.princeton.edu\fP. From this web site
51 | users can learn about the WordNet project, run several different
52 | interfaces to the WordNet database, and download various WordNet
53 | system packages and \fI"Five Papers on WordNet"\fP.
54 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/doc/man/wnintro.5:
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1 | '\" t
2 | .\" $Id$
3 | .tr ~
4 | .TH WNINTRO 5WN "Dec 2006" "WordNet 3.0" "WordNet\(tm File Formats"
5 | .SH NAME
6 | wnintro \- introduction to descriptions of WordNet file formats
7 | .SH SYNOPSIS
8 | .LP
9 | \fBcntlist\fP \- format of \fBcntlist\fP and \fBcntlist.rev\fP files
10 | .LP
11 | \fBlexnames\fP \- list of lexicographer file names and numbers
12 | .LP
13 | \fBprologdb\fP \- description of Prolog database files
14 | .LP
15 | \fBsenseidx\fP \- format of sense index file
16 | .LP
17 | \fBsensemap\fP \- mapping from senses in WordNet 2.1 to corresponding
18 | 3.0 senses
19 | .LP
20 | \fBwndb\fP \- format of WordNet database files
21 | .LP
22 | \fBwninput\fP \- format of WordNet lexicographer files
23 | .SH DESCRIPTION
24 | This section of the \fIWordNet Reference Manual\fP contains manual pages
25 | that describe the formats of the various files included in different
26 | WordNet 3.0 packages.
27 | .SH NOMENCLATURE
28 | All files are in ASCII. Fields are generally separated by one space,
29 | unless otherwise noted, and each line is terminated with a newline
30 | character. In the file format descriptions, terms in \fIitalics\fP
31 | refer to field names. Characters or strings in \fBboldface\fP
32 | represent an actual character or string as it appears in the file.
33 | Items enclosed in italicized square brackets (\fI[~~]\fP) may not be present.
34 | Since several files contain fields that have the identical meaning,
35 | field names are consistently defined. For example, several WordNet
36 | files contain one or more \fIsynset_offset\fP fields. In each case,
37 | the definition of \fIsynset_offset\fP is identical.
38 | .SH SEE ALSO
39 | .BR wnintro (1WN),
40 | .BR wnintro (3WN),
41 | .BR cntlist (5WN),
42 | .BR lexnames (5WN),
43 | .BR prologdb (5WN),
44 | .BR senseidx (5WN),
45 | .BR sensemap (5WN),
46 | .BR wndb (5WN),
47 | .BR wninput (5WN),
48 | .BR wnintro (7WN),
49 | .BR wngloss (7WN).
50 | .LP
51 | Fellbaum, C. (1998), ed.
52 | \fI"WordNet: An Electronic Lexical Database"\fP.
53 | MIT Press, Cambridge, MA.
54 |
55 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/doc/man/wnintro.7:
--------------------------------------------------------------------------------
1 | '\" t
2 | .\" $Id$
3 | .tr ~
4 | .TH WNINTRO 7WN "Dec 2006" "WordNet 3.0" "Miscellaneous WordNet\(tm Topics"
5 | .SH NAME
6 | wnintro \- introduction to miscellaneous WordNet information
7 | .SH SYNOPSIS
8 | .LP
9 | \fBmorphy\fP \- discussion of WordNet's morphological processing
10 | .LP
11 | \fBuniqbeg\fP \- unique beginners for noun hierarchies
12 | .LP
13 | \fBwngloss\fP \- glossary of terms used in WordNet
14 | .LP
15 | \fBwngroups\fP \- discussion of WordNet search code to group similar senses
16 | .LP
17 | \fBwnlicens\fP \- text of WordNet license agreement
18 | .LP
19 | \fBwnpkgs\fP \- information about WordNet packages and distribution
20 | .LP
21 | \fBwnstats\fP \- database statistics
22 | .SH DESCRIPTION
23 | This section of the \fIWordNet Reference Manual\fP contains manual pages
24 | that describe various topics related to WordNet and the semantic
25 | concordances, and a glossary of terms.
26 | .SH SEE ALSO
27 | .BR wnintro (1WN),
28 | .BR wnintro (3WN),
29 | .BR wnintro (5WN),
30 | .BR morphy (7WN),
31 | .BR uniqbeg (7WN),
32 | .BR wngroups (7WN),
33 | .BR wnlicens (7WN),
34 | .BR wnpkgs (7WN),
35 | .BR wnstats (7WN),
36 | .BR wngloss (7WN).
37 | .LP
38 | Fellbaum, C. (1998), ed.
39 | \fI"WordNet: An Electronic Lexical Database"\fP.
40 | MIT Press, Cambridge, MA.
41 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/doc/man/wnlicens.7:
--------------------------------------------------------------------------------
1 | '\" t
2 | .\" $Id$
3 | .TH WNLICENS 7WN "Dec 2006" "WordNet 3.0" "WordNet\(tm"
4 | .SH NAME
5 | wnlicens \- text of WordNet license
6 | .SH DESCRIPTION
7 | WordNet Release 3.0
8 |
9 | This software and database is being provided to you, the LICENSEE, by
10 | Princeton University under the following license. By obtaining, using
11 | and/or copying this software and database, you agree that you have
12 | read, understood, and will comply with these terms and conditions.:
13 |
14 | Permission to use, copy, modify and distribute this software and
15 | database and its documentation for any purpose and without fee or
16 | royalty is hereby granted, provided that you agree to comply with
17 | the following copyright notice and statements, including the disclaimer,
18 | and that the same appear on ALL copies of the software, database and
19 | documentation, including modifications that you make for internal
20 | use or for distribution.
21 |
22 | WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.
23 |
24 | THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON
25 | UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
26 | IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON
27 | UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-
28 | ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE
29 | OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT
30 | INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR
31 | OTHER RIGHTS.
32 |
33 | The name of Princeton University or Princeton may not be used in
34 | advertising or publicity pertaining to distribution of the software
35 | and/or database. Title to copyright in this software, database and
36 | any associated documentation shall at all times remain with
37 | Princeton University and LICENSEE agrees to preserve same.
38 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/doc/man/wnpkgs.7:
--------------------------------------------------------------------------------
1 | '\" t
2 | .\" $Id$
3 | .tr ~
4 | .TH WNPKGS 7WN "Dec 2006" "WordNet 3.0" "WordNet\(tm"
5 | .SH NAME
6 | wnpkgs \- description of various WordNet system packages
7 | .SH DESCRIPTION
8 | WordNet 3.0 is distributed in several formats and in various packages.
9 | All of the packages are available via anonymous FTP from
10 | \fBftp.cogsci.princeton.edu\fP and from the WordNet Web
11 | site at \fBhttp://wordnet.princeton.edu\fP.
12 | .SS "Packages Available Via FTP and WWW"
13 | The following WordNet packages can be downloaded using a web browser
14 | from \fBftp://ftp.cogsci.princeton.edu/wordnet/3.0\fP, or
15 | from the Web site noted above. Users can also FTP directly from
16 | \fBftp.cogsci.princeton.edu\fP, directory \fBwordnet/3.0\fP.
17 |
18 | .TS
19 | center box ;
20 | c | c | c | c
21 | lt | l | l | lt.
22 | \fBPackage\fP \fBFilename\fP \fBPlatform\fP \fBDescription\fP
23 | _
24 | .na
25 | Database \fBWordNet-3.0.tar.gz\fP Unix/OS X T{
26 | WordNet 3.0 database, interfaces, sense index, interface
27 | and library source code, documentation.
28 | T}
29 | Database \fBWordNet-3.0.exe\fP Windows T{
30 | WordNet 3.0 database, interfaces, sense index, interface
31 | and library source code, documentation.
32 | T}
33 | Prolog Database \fBWNprolog-3.0.tar.gz\fP All T{
34 | WordNet 3.0 database files in Prolog-readable format, documentation.
35 | T}
36 | Sense Map \fBWNsnsmap-3.0.tar.gz\fP All T{
37 | Mapping of 2.1 to 3.0 senses, documentation.
38 | T}
39 | .TE
40 |
41 | .SS "Database Package"
42 | The database package is a complete installation for WordNet 3.0 users.
43 | It includes the 3.0 database files, source code for the WordNet browsers and
44 | library, and documentation. The other packages are not included \-
45 | they must be downloaded and installed separately.
46 |
47 | Note that with this version of WordNet for Unix platforms, only source
48 | code is provided. Users should carefully read the README and INSTALL
49 | files for detailed information on compiling WordNet and dependencies.
50 |
51 | .SS Prolog Database Package
52 | The WordNet 3.0 database files are available in this package in a
53 | Prolog-readable format. Documentation describing the file format is
54 | included. This package is only downloadable in compressed tar file
55 | format, although once unpackaged it can be used from Windows
56 | systems since the files are in ASCII. Many Windows utilities, such as
57 | WinZip, can deal with a
58 | compressed tar file.
59 | .SS Sense Map Package
60 | To help users automatically convert 2.1 noun and verb senses to their
61 | corresponding 3.0 senses, we provide sense mapping information in
62 | this package. This package contains files to map polysemous and
63 | monosemous words, and documentation that describes the format of these
64 | files. As with the Prolog database, this package is only downloadable
65 | in compressed tar format, but the files are also in ASCII.
66 | .SH NOTES
67 | The lexicographer files and
68 | .BR grind (1WN)
69 | program are not generally distributed.
70 |
71 | All of the packages described above may not be available at the time
72 | of release of the 3.0 database package.
73 | .SH SEE ALSO
74 | .BR wnintro (1WN),
75 | .BR wnintro (3WN),
76 | .BR wnintro (5WN),
77 | .BR wnintro (7WN).
78 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/doc/man/wnstats.7:
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1 | '\" t
2 | .\" $Id$
3 | .TH WNSTATS 7WN "Dec 2006" "WordNet 3.0" "WordNet\(tm"
4 | .SH NAME
5 | wnstats \- WordNet 3.0 database statistics
6 | .SH DESCRIPTION
7 | .SS Number of words, synsets, and senses
8 | .TS
9 | center box tab(/);
10 | c | c | c | c
11 | c | c | c | c
12 | l | r | r | r.
13 | \fBPOS\fP/\fBUnique\fP/\fBSynsets\fP/\fBTotal\fP
14 | /\fBStrings\fP//\fBWord-Sense Pairs\fP/
15 | _
16 | Noun/117798/82115/146312
17 | Verb/11529/13767/25047
18 | Adjective/21479/18156/30002
19 | Adverb/4481/3621/5580
20 | =
21 | Totals/155287/117659/206941
22 | .TE
23 |
24 | .SS Polysemy information
25 |
26 | .TS
27 | center box tab(/);
28 | c | c | c | c
29 | c | c | c | c
30 | l | r | r | r.
31 | \fBPOS\fP/\fBMonosemous\fP/\fBPolysemous\fP/\fBPolysemous\fP
32 | /\fBWords and Senses\fP/\fBWords\fP/\fBSenses\fP
33 | _
34 | Noun/101863/15935/44449
35 | Verb/6277/5252/18770
36 | Adjective/16503/4976/14399
37 | Adverb/3748/733/1832
38 | =
39 | Totals/128391/26896/79450
40 | .TE
41 |
42 | .TS
43 | center box tab(/);
44 | c | c | c
45 | c | c | c
46 | l | r | r.
47 | \fBPOS\fP/\fBAverage Polysemy\fP/\fBAverage Polysemy\fP
48 | /\fBIncluding Monosemous Words\fP/\fBExcluding Monosemous Words\fP
49 | _
50 | Noun/1.24/2.79
51 | Verb/2.17/3.57
52 | Adjective/1.40/2.71
53 | Adverb/1.25/2.50
54 | .TE
55 |
56 | .SH NOTES
57 | Statistics for all types of adjectives and adjective satellites are
58 | combined.
59 |
60 | The total of all unique noun, verb, adjective, and adverb strings is
61 | actually 147278.
62 | However, many strings are unique within a
63 | syntactic category, but are in more than one syntactic category. The
64 | figures in the table represent the unique strings in each syntactic category.
65 |
66 |
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1 | pdfdir=$(prefix)/doc/pdf
2 | pdf_DATA =binsrch.3.pdf cntlist.5.pdf grind.1.pdf lexnames.5.pdf morph.3.pdf morphy.7.pdf senseidx.5.pdf uniqbeg.7.pdf wn.1.pdf wnb.1.pdf wndb.5.pdf wngloss.7.pdf wngroups.7.pdf wninput.5.pdf wnintro.1.pdf wnintro.3.pdf wnintro.5.pdf wnintro.7.pdf wnlicens.7.pdf wnpkgs.7.pdf wnsearch.3.pdf wnstats.7.pdf wnutil.3.pdf
3 |
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/DeepQASupport/WordNet-3.0/doc/ps/Makefile.am:
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1 | psdir = $(prefix)/doc/ps
2 | ps_DATA = binsrch.3.ps cntlist.5.ps grind.1.ps lexnames.5.ps morph.3.ps morphy.7.ps senseidx.5.ps uniqbeg.7.ps wn.1.ps wnb.1.ps wndb.5.ps wngloss.7.ps wngroups.7.ps wninput.5.ps wnintro.1.ps wnintro.3.ps wnintro.5.ps wnintro.7.ps wnlicens.7.ps wnpkgs.7.ps wnsearch.3.ps wnstats.7.ps wnutil.3.ps
3 |
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/DeepQASupport/WordNet-3.0/lib/wnglobal.c:
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1 | /*
2 |
3 | wnglobal.c - global variables used by various WordNet applications
4 |
5 | $Id: wnglobal.c,v 1.56 2006/11/14 21:00:34 wn Exp $
6 |
7 | */
8 |
9 | #ifndef NULL
10 | #define NULL 0
11 | #endif
12 |
13 | char *wnrelease = "3.0";
14 |
15 | /* Lexicographer file names and numbers */
16 |
17 | char *lexfiles[] = {
18 | "adj.all", /* 0 */
19 | "adj.pert", /* 1 */
20 | "adv.all", /* 2 */
21 | "noun.Tops", /* 3 */
22 | "noun.act", /* 4 */
23 | "noun.animal", /* 5 */
24 | "noun.artifact", /* 6 */
25 | "noun.attribute", /* 7 */
26 | "noun.body", /* 8 */
27 | "noun.cognition", /* 9 */
28 | "noun.communication", /* 10 */
29 | "noun.event", /* 11 */
30 | "noun.feeling", /* 12 */
31 | "noun.food", /* 13 */
32 | "noun.group", /* 14 */
33 | "noun.location", /* 15 */
34 | "noun.motive", /* 16 */
35 | "noun.object", /* 17 */
36 | "noun.person", /* 18 */
37 | "noun.phenomenon", /* 19 */
38 | "noun.plant", /* 20 */
39 | "noun.possession", /* 21 */
40 | "noun.process", /* 22 */
41 | "noun.quantity", /* 23 */
42 | "noun.relation", /* 24 */
43 | "noun.shape", /* 25 */
44 | "noun.state", /* 26 */
45 | "noun.substance", /* 27 */
46 | "noun.time", /* 28 */
47 | "verb.body", /* 29 */
48 | "verb.change", /* 30 */
49 | "verb.cognition", /* 31 */
50 | "verb.communication", /* 32 */
51 | "verb.competition", /* 33 */
52 | "verb.consumption", /* 34 */
53 | "verb.contact", /* 35 */
54 | "verb.creation", /* 36 */
55 | "verb.emotion", /* 37 */
56 | "verb.motion", /* 38 */
57 | "verb.perception", /* 39 */
58 | "verb.possession", /* 40 */
59 | "verb.social", /* 41 */
60 | "verb.stative", /* 42 */
61 | "verb.weather", /* 43 */
62 | "adj.ppl", /* 44 */
63 | };
64 |
65 | /* Pointer characters and searches */
66 |
67 | char *ptrtyp[]={
68 | "", /* 0 not used */
69 | "!", /* 1 ANTPTR */
70 | "@", /* 2 HYPERPTR */
71 | "~", /* 3 HYPOPTR */
72 | "*", /* 4 ENTAILPTR */
73 | "&", /* 5 SIMPTR */
74 | "#m", /* 6 ISMEMBERPTR */
75 | "#s", /* 7 ISSTUFFPTR */
76 | "#p", /* 8 ISPARTPTR */
77 | "%m", /* 9 HASMEMBERPTR */
78 | "%s", /* 10 HASSTUFFPTR */
79 | "%p", /* 11 HASPARTPTR */
80 | "%", /* 12 MERONYM */
81 | "#", /* 13 HOLONYM */
82 | ">", /* 14 CAUSETO */
83 | "<", /* 15 PPLPTR */
84 | "^", /* 16 SEEALSO */
85 | "\\", /* 17 PERTPTR */
86 | "=", /* 18 ATTRIBUTE */
87 | "$", /* 19 VERBGROUP */
88 | "+", /* 20 NOMINALIZATIONS */
89 | ";", /* 21 CLASSIFICATION */
90 | "-", /* 22 CLASS */
91 | /* additional searches, but not pointers. */
92 | "", /* SYNS */
93 | "", /* FREQ */
94 | "+", /* FRAMES */
95 | "", /* COORDS */
96 | "", /* RELATIVES */
97 | "", /* HMERONYM */
98 | "", /* HHOLONYM */
99 | "", /* WNGREP */
100 | "", /* OVERVIEW */
101 | ";c", /* CLASSIF_CATEGORY */
102 | ";u", /* CLASSIF_USAGE */
103 | ";r", /* CLASSIF_REGIONAL */
104 | "-c", /* CLASS_CATEGORY */
105 | "-u", /* CLASS_USAGE */
106 | "-r", /* CLASS_REGIONAL */
107 | "@i", /* INSTANCE */
108 | "~i", /* INSTANCES */
109 | NULL,
110 | };
111 |
112 | char *partnames[]={ "", "noun", "verb", "adj", "adv", NULL };
113 | char partchars[] = " nvara"; /* add char for satellites to end */
114 | char *adjclass[] = { "", "(p)", "(a)", "(ip)" };
115 |
116 | /* Text of verb sentence frames */
117 |
118 | char *frametext[] = {
119 | "",
120 | "Something ----s",
121 | "Somebody ----s",
122 | "It is ----ing",
123 | "Something is ----ing PP",
124 | "Something ----s something Adjective/Noun",
125 | "Something ----s Adjective/Noun",
126 | "Somebody ----s Adjective",
127 | "Somebody ----s something",
128 | "Somebody ----s somebody",
129 | "Something ----s somebody",
130 | "Something ----s something",
131 | "Something ----s to somebody",
132 | "Somebody ----s on something",
133 | "Somebody ----s somebody something",
134 | "Somebody ----s something to somebody",
135 | "Somebody ----s something from somebody",
136 | "Somebody ----s somebody with something",
137 | "Somebody ----s somebody of something",
138 | "Somebody ----s something on somebody",
139 | "Somebody ----s somebody PP",
140 | "Somebody ----s something PP",
141 | "Somebody ----s PP",
142 | "Somebody's (body part) ----s",
143 | "Somebody ----s somebody to INFINITIVE",
144 | "Somebody ----s somebody INFINITIVE",
145 | "Somebody ----s that CLAUSE",
146 | "Somebody ----s to somebody",
147 | "Somebody ----s to INFINITIVE",
148 | "Somebody ----s whether INFINITIVE",
149 | "Somebody ----s somebody into V-ing something",
150 | "Somebody ----s something with something",
151 | "Somebody ----s INFINITIVE",
152 | "Somebody ----s VERB-ing",
153 | "It ----s that CLAUSE",
154 | "Something ----s INFINITIVE",
155 | ""
156 | };
157 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/lib/wnres/license.txt:
--------------------------------------------------------------------------------
1 | WordNet Release 3.0
2 |
3 | This software and database is being provided to you, the LICENSEE, by
4 | Princeton University under the following license. By obtaining, using
5 | and/or copying this software and database, you agree that you have
6 | read, understood, and will comply with these terms and conditions.:
7 |
8 | Permission to use, copy, modify and distribute this software and
9 | database and its documentation for any purpose and without fee or
10 | royalty is hereby granted, provided that you agree to comply with
11 | the following copyright notice and statements, including the disclaimer,
12 | and that the same appear on ALL copies of the software, database and
13 | documentation, including modifications that you make for internal
14 | use or for distribution.
15 |
16 | WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.
17 |
18 | THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON
19 | UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
20 | IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON
21 | UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-
22 | ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE
23 | OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT
24 | INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR
25 | OTHER RIGHTS.
26 |
27 | The name of Princeton University or Princeton may not be used in
28 | advertising or publicity pertaining to distribution of the software
29 | and/or database. Title to copyright in this software, database and
30 | any associated documentation shall at all times remain with
31 | Princeton University and LICENSEE agrees to preserve same.
32 |
33 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/lib/wnrtl.c:
--------------------------------------------------------------------------------
1 | /*
2 |
3 | wnrtl.c - global variables used by WordNet Run Time Library
4 |
5 | */
6 |
7 | #include
8 | #include "wn.h"
9 |
10 | static char *Id = "$Id: wnrtl.c,v 1.8 2005/01/27 17:33:54 wn Rel $";
11 |
12 | /* Search code variables and flags */
13 |
14 | SearchResults wnresults; /* structure containing results of search */
15 |
16 | int fnflag = 0; /* if set, print lex filename after sense */
17 | int dflag = 1; /* if set, print definitional glosses */
18 | int saflag = 1; /* if set, print SEE ALSO pointers */
19 | int fileinfoflag = 0; /* if set, print lex file info on synsets */
20 | int frflag = 0; /* if set, print verb frames */
21 | int abortsearch = 0; /* if set, stop search algorithm */
22 | int offsetflag = 0; /* if set, print byte offset of each synset */
23 | int wnsnsflag = 0; /* if set, print WN sense # for each word */
24 |
25 | /* File pointers for database files */
26 |
27 | int OpenDB = 0; /* if non-zero, database file are open */
28 | FILE *datafps[NUMPARTS + 1] = { NULL, NULL, NULL, NULL, NULL } ,
29 | *indexfps[NUMPARTS + 1] = { NULL, NULL, NULL, NULL, NULL } ,
30 | *sensefp = NULL,
31 | *cntlistfp = NULL,
32 | *keyindexfp = NULL,
33 | *revkeyindexfp = NULL,
34 | *vsentfilefp = NULL, *vidxfilefp = NULL;
35 |
36 | /* Method for interface to check for events while search is running */
37 |
38 | void (*interface_doevents_func)(void) = NULL;
39 | /* callback function for interruptable searches */
40 | /* in single-threaded interfaces */
41 |
42 | /* General error message handler - can be defined by interface.
43 | Default function provided in library returns -1 */
44 |
45 | int default_display_message(char *);
46 | int (*display_message)(char *) = default_display_message;
47 |
48 | /*
49 | Revsion log:
50 |
51 | $Log: wnrtl.c,v $
52 | Revision 1.8 2005/01/27 17:33:54 wn
53 | cleaned up includes
54 |
55 | Revision 1.7 2005/01/27 16:31:17 wn
56 | removed cousinfp for 1.6
57 |
58 | Revision 1.6 2002/03/22 20:29:58 wn
59 | added revkeyindexfp
60 |
61 | Revision 1.5 2001/10/11 18:03:02 wn
62 | initialize keyindexfp
63 |
64 | Revision 1.4 2001/03/27 18:48:15 wn
65 | added cntlistfp
66 |
67 | Revision 1.3 2001/03/13 17:45:48 wn
68 | *** empty log message ***
69 |
70 | Revision 1.2 2000/08/14 16:05:06 wn
71 | added tcflag
72 |
73 | Revision 1.1 1997/09/02 16:31:18 wn
74 | Initial revision
75 |
76 |
77 | */
78 |
--------------------------------------------------------------------------------
/DeepQASupport/WordNet-3.0/src/tkAppInit.c:
--------------------------------------------------------------------------------
1 | /*
2 | * tkAppInit.c --
3 | *
4 | * Provides a default version of the Tcl_AppInit procedure for
5 | * use in wish and similar Tk-based applications.
6 | *
7 | * Copyright (c) 1993 The Regents of the University of California.
8 | * Copyright (c) 1994-1997 Sun Microsystems, Inc.
9 | *
10 | * See the file "license.terms" for information on usage and redistribution
11 | * of this file, and for a DISCLAIMER OF ALL WARRANTIES.
12 | *
13 | * RCS: @(#) $Id: tkAppInit.c,v 1.5 2005/02/01 17:35:34 wn Rel $
14 | */
15 |
16 | #include
17 | #include
18 | #include
19 |
20 | /*
21 | * The following variable is a special hack that is needed in order for
22 | * Sun shared libraries to be used for Tcl.
23 | */
24 |
25 | #ifdef __sun__
26 | extern int matherr();
27 | int *tclDummyMathPtr = (int *) matherr;
28 | #endif
29 |
30 | #ifdef TK_TEST
31 | extern int Tcltest_Init _ANSI_ARGS_((Tcl_Interp *interp));
32 | extern int Tktest_Init _ANSI_ARGS_((Tcl_Interp *interp));
33 | #endif /* TK_TEST */
34 |
35 | /*
36 | *----------------------------------------------------------------------
37 | *
38 | * main --
39 | *
40 | * This is the main program for the application.
41 | *
42 | * Results:
43 | * None: Tk_Main never returns here, so this procedure never
44 | * returns either.
45 | *
46 | * Side effects:
47 | * Whatever the application does.
48 | *
49 | *----------------------------------------------------------------------
50 | */
51 |
52 | int
53 | main(argc, argv)
54 | int argc; /* Number of command-line arguments. */
55 | char **argv; /* Values of command-line arguments. */
56 | {
57 | /*
58 | * The following #if block allows you to change the AppInit
59 | * function by using a #define of TCL_LOCAL_APPINIT instead
60 | * of rewriting this entire file. The #if checks for that
61 | * #define and uses Tcl_AppInit if it doesn't exist.
62 | */
63 |
64 | #ifndef TK_LOCAL_APPINIT
65 | #define TK_LOCAL_APPINIT Tcl_AppInit
66 | #endif
67 | extern int TK_LOCAL_APPINIT _ANSI_ARGS_((Tcl_Interp *interp));
68 |
69 | /*
70 | * The following #if block allows you to change how Tcl finds the startup
71 | * script, prime the library or encoding paths, fiddle with the argv,
72 | * etc., without needing to rewrite Tk_Main()
73 | */
74 |
75 | #ifdef TK_LOCAL_MAIN_HOOK
76 | extern int TK_LOCAL_MAIN_HOOK _ANSI_ARGS_((int *argc, char ***argv));
77 | TK_LOCAL_MAIN_HOOK(&argc, &argv);
78 | #endif
79 |
80 | #ifdef _WINDOWS
81 | argv[argc++] = "wnb.tcl";
82 | #endif
83 |
84 | Tk_Main(argc, argv, TK_LOCAL_APPINIT);
85 | return 0; /* Needed only to prevent compiler warning. */
86 | }
87 |
88 | /*
89 | *----------------------------------------------------------------------
90 | *
91 | * Tcl_AppInit --
92 | *
93 | * This procedure performs application-specific initialization.
94 | * Most applications, especially those that incorporate additional
95 | * packages, will have their own version of this procedure.
96 | *
97 | * Results:
98 | * Returns a standard Tcl completion code, and leaves an error
99 | * message in the interp's result if an error occurs.
100 | *
101 | * Side effects:
102 | * Depends on the startup script.
103 | *
104 | *----------------------------------------------------------------------
105 | */
106 |
107 | extern int Wordnet_Init(Tcl_Interp *interp);
108 |
109 | int
110 | Tcl_AppInit(interp)
111 | Tcl_Interp *interp; /* Interpreter for application. */
112 | {
113 | if (Tcl_Init(interp) == TCL_ERROR) {
114 | return TCL_ERROR;
115 | }
116 | if (Tk_Init(interp) == TCL_ERROR) {
117 | return TCL_ERROR;
118 | }
119 | Tcl_StaticPackage(interp, "Tk", Tk_Init, Tk_SafeInit);
120 | #ifdef TK_TEST
121 | if (Tcltest_Init(interp) == TCL_ERROR) {
122 | return TCL_ERROR;
123 | }
124 | Tcl_StaticPackage(interp, "Tcltest", Tcltest_Init,
125 | (Tcl_PackageInitProc *) NULL);
126 | if (Tktest_Init(interp) == TCL_ERROR) {
127 | return TCL_ERROR;
128 | }
129 | Tcl_StaticPackage(interp, "Tktest", Tktest_Init,
130 | (Tcl_PackageInitProc *) NULL);
131 | #endif /* TK_TEST */
132 |
133 |
134 | /*
135 | * Call the init procedures for included packages. Each call should
136 | * look like this:
137 | *
138 | * if (Mod_Init(interp) == TCL_ERROR) {
139 | * return TCL_ERROR;
140 | * }
141 | *
142 | * where "Mod" is the name of the module.
143 | */
144 |
145 | if (Wordnet_Init(interp) == TCL_ERROR) {
146 | return TCL_ERROR;
147 | }
148 |
149 |
150 | /*
151 | * Call Tcl_CreateCommand for application-specific commands, if
152 | * they weren't already created by the init procedures called above.
153 | */
154 |
155 | /*
156 | * Specify a user-specific startup file to invoke if the application
157 | * is run interactively. Typically the startup file is "~/.apprc"
158 | * where "app" is the name of the application. If this line is deleted
159 | * then no user-specific startup file will be run under any conditions.
160 | */
161 |
162 | Tcl_SetVar(interp, "tcl_rcFileName", "~/.wishrc", TCL_GLOBAL_ONLY);
163 | return TCL_OK;
164 | }
165 |
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/DeepQASupport/data/stopwords.txt:
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1 | a
2 | about
3 | above
4 | after
5 | again
6 | against
7 | all
8 | am
9 | an
10 | and
11 | any
12 | are
13 | aren't
14 | as
15 | at
16 | be
17 | because
18 | been
19 | before
20 | being
21 | below
22 | between
23 | both
24 | but
25 | by
26 | can't
27 | cannot
28 | could
29 | couldn't
30 | did
31 | didn't
32 | do
33 | does
34 | doesn't
35 | doing
36 | don't
37 | down
38 | during
39 | each
40 | few
41 | for
42 | from
43 | further
44 | had
45 | hadn't
46 | has
47 | hasn't
48 | have
49 | haven't
50 | having
51 | he
52 | he'd
53 | he'll
54 | he's
55 | her
56 | here
57 | here's
58 | hers
59 | herself
60 | him
61 | himself
62 | his
63 | how
64 | how's
65 | i
66 | i'd
67 | i'll
68 | i'm
69 | i've
70 | if
71 | in
72 | into
73 | is
74 | isn't
75 | it
76 | it's
77 | its
78 | itself
79 | let's
80 | me
81 | more
82 | most
83 | mustn't
84 | my
85 | myself
86 | no
87 | nor
88 | not
89 | of
90 | off
91 | on
92 | once
93 | only
94 | or
95 | other
96 | ought
97 | our
98 | ours
99 | ourselves
100 | out
101 | over
102 | own
103 | same
104 | shan't
105 | she
106 | she'd
107 | she'll
108 | she's
109 | should
110 | shouldn't
111 | so
112 | some
113 | such
114 | than
115 | that
116 | that's
117 | the
118 | their
119 | theirs
120 | them
121 | themselves
122 | then
123 | there
124 | there's
125 | these
126 | they
127 | they'd
128 | they'll
129 | they're
130 | they've
131 | this
132 | those
133 | through
134 | to
135 | too
136 | under
137 | until
138 | up
139 | very
140 | was
141 | wasn't
142 | we
143 | we'd
144 | we'll
145 | we're
146 | we've
147 | were
148 | weren't
149 | what
150 | what's
151 | when
152 | when's
153 | where
154 | where's
155 | which
156 | while
157 | who
158 | who's
159 | whom
160 | why
161 | why's
162 | with
163 | won't
164 | would
165 | wouldn't
166 | you
167 | you'd
168 | you'll
169 | you're
170 | you've
171 | your
172 | yours
173 | yourself
174 | yourselves
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2 | #in any domain (the senses are for WordNet 2)
3 | namperson person#n#1
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9 | namdate day#n#2
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https://raw.githubusercontent.com/john77eipe/DeepQA/909286aadb6fde9c5e78d31a9467ab60e4aeaa32/SimilarityUtils/lib/javawordnetsim.jar
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/SimilarityUtils/lib/jwnl.jar:
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https://raw.githubusercontent.com/john77eipe/DeepQA/909286aadb6fde9c5e78d31a9467ab60e4aeaa32/SimilarityUtils/lib/jwnl.jar
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/SimilarityUtils/lib/simmetrics.jar:
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https://raw.githubusercontent.com/john77eipe/DeepQA/909286aadb6fde9c5e78d31a9467ab60e4aeaa32/SimilarityUtils/lib/simmetrics.jar
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/StringSimilarity.java:
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1 | package gov.nist.msi.ssmpi.similarity;
2 |
3 | public interface StringSimilarity {
4 | float getSimilarity(String s, String t);
5 | }
6 |
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/impl/AbstractSchemaSimilarityByWordNet.java:
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1 | package gov.nist.msi.ssmpi.similarity.impl;
2 |
3 | import java.net.MalformedURLException;
4 | import java.net.URL;
5 | import java.util.HashMap;
6 | import java.util.SortedSet;
7 |
8 | import edu.mit.jwi.dict.Dictionary;
9 | import edu.mit.jwi.dict.IDictionary;
10 | import edu.mit.jwi.item.IIndexWord;
11 | import edu.mit.jwi.item.IWord;
12 | import edu.mit.jwi.item.IWordID;
13 | import edu.mit.jwi.item.PartOfSpeech;
14 | import edu.mit.jwi.morph.WordnetStemmer;
15 | import gov.nist.msi.ssmpi.similarity.utils.WordStringUtils;
16 |
17 | /**
18 | * @author Jaewook Kim
19 | *
20 | */
21 | public abstract class AbstractSchemaSimilarityByWordNet {
22 |
23 | private static IDictionary dict = null;
24 | private static HashMap cachedWordGross = new HashMap();
25 | private static HashMap cachedWordNetDef = new HashMap();
26 |
27 | public AbstractSchemaSimilarityByWordNet() {
28 | super();
29 | initWordNetDb();
30 | }
31 |
32 | private void initWordNetDb() {
33 | if (dict == null) {
34 | String wnhome = "/Users/914957/Documents/DeepQA/DeepQASupport/WordNet-3.0/";
35 | String separator = System.getProperty("file.separator");
36 | String path = wnhome + separator + "dict";
37 | URL url = null;
38 | try {
39 | url = new URL("file", null, path);
40 | } catch (MalformedURLException e) {
41 | e.printStackTrace();
42 | }
43 | if (url == null)
44 | return;
45 |
46 | // construct the dictionary object and open it
47 | dict = new Dictionary(url);
48 | dict.open();
49 | }
50 | }
51 |
52 | protected String getWordNetDef(final String text) {
53 | if (cachedWordNetDef.containsKey(text)) {
54 | return cachedWordNetDef.get(text);
55 | }
56 |
57 | String text2 = WordStringUtils.generateMultiWordString(text);
58 | String[] wordList = text2.split(" ");
59 |
60 | StringBuffer textDef = new StringBuffer(text + " ");
61 | for (String wordString : wordList) {
62 | String mergedWordGloss;
63 | if (cachedWordGross.containsKey(wordString)) {
64 | mergedWordGloss = cachedWordGross.get(wordString);
65 | }
66 | else {
67 | StringBuffer mergedWordGlossBuffer = new StringBuffer("");
68 | for (PartOfSpeech pos : PartOfSpeech.values()) {
69 | WordnetStemmer stem = new WordnetStemmer(dict);
70 | SortedSet wordRoots = stem.getRoots(wordString, pos);
71 | if (wordRoots == null) continue;
72 | IIndexWord idxWord = dict.getIndexWord(wordRoots.first(), pos);
73 | if (idxWord != null) {
74 | IWordID[] wordIdList = idxWord.getWordIDs();
75 | for (IWordID wordID : wordIdList) {
76 | IWord word = dict.getWord(wordID);
77 | String wordGloss = word.getGloss();
78 | if (wordGloss.indexOf(';') > 0) {
79 | wordGloss = wordGloss.substring(0, wordGloss.indexOf(';'));
80 | }
81 | mergedWordGlossBuffer.append(wordGloss + " ");
82 | }
83 | }
84 | }
85 |
86 | mergedWordGloss = mergedWordGlossBuffer.toString();
87 | cachedWordGross.put(wordString, mergedWordGloss);
88 | }
89 |
90 | textDef.append(mergedWordGloss);
91 | }
92 |
93 | String wordNetDef = WordStringUtils.removeStopwords(textDef.toString().toLowerCase());
94 | cachedWordNetDef.put(text, wordNetDef);
95 |
96 | return wordNetDef;
97 | }
98 |
99 | }
100 |
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/impl/SSTop_Cosine.java:
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1 | package gov.nist.msi.ssmpi.similarity.impl;
2 |
3 | import gov.nist.msi.ssmpi.similarity.StringSimilarity;
4 | import gov.nist.msi.ssmpi.similarity.utils.WordStringUtils;
5 | import uk.ac.shef.wit.simmetrics.similaritymetrics.AbstractStringMetric;
6 | import uk.ac.shef.wit.simmetrics.similaritymetrics.CosineSimilarity;
7 |
8 | /**
9 | * @author Jaewook Kim
10 | *
11 | */
12 | public class SSTop_Cosine implements
13 | StringSimilarity {
14 |
15 | public SSTop_Cosine() {
16 | super();
17 | // TODO Auto-generated constructor stub
18 | }
19 |
20 | @Override
21 | public float getSimilarity(String s, String t) {
22 | String source = WordStringUtils.generateMultiWordString(s);
23 | String target = WordStringUtils.generateMultiWordString(t);
24 | AbstractStringMetric metric = new CosineSimilarity();
25 | float sim = metric.getSimilarity(source, target);
26 | return sim;
27 | }
28 | }
29 |
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/impl/SSTop_ICofWN.java:
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1 | package gov.nist.msi.ssmpi.similarity.impl;
2 |
3 | import gov.nist.msi.ssmpi.similarity.StringSimilarity;
4 | import gov.nist.msi.ssmpi.similarity.utils.WordStringUtils;
5 |
6 | import java.io.FileInputStream;
7 | import java.io.FileNotFoundException;
8 | import java.util.HashMap;
9 | import java.util.Map;
10 |
11 | import net.didion.jwnl.JWNL;
12 | import net.didion.jwnl.JWNLException;
13 | import shef.nlp.wordnet.similarity.SimilarityMeasure;
14 |
15 | /**
16 | * @author Jaewook Kim
17 | *
18 | */
19 | public class SSTop_ICofWN implements StringSimilarity {
20 |
21 | SimilarityMeasure simMeasure;
22 |
23 | public SSTop_ICofWN() {
24 | super();
25 | // Initialize WordNet - this must be done before you try
26 | // and create a similarity measure otherwise nasty things
27 | // might happen!
28 | try {
29 | JWNL.initialize(new FileInputStream("test/wordnet.xml"));
30 |
31 | // Create a map to hold the similarity config params
32 | Map params = new HashMap();
33 |
34 | // the simType parameter is the class name of the measure to use
35 | params.put("simType", "shef.nlp.wordnet.similarity.JCn");
36 |
37 | // this param should be the URL to an infocontent file (if required
38 | // by the similarity measure being loaded)
39 | params.put("infocontent", "file:test/ic-bnc-resnik-add1.dat");
40 |
41 | // this param should be the URL to a mapping file if the
42 | // user needs to make synset mappings
43 | params.put("mapping", "file:test/domain_independent.txt");
44 |
45 | // create the similarity measure
46 | simMeasure = SimilarityMeasure.newInstance(params);
47 | // System.out.println("simMeasure configured.");
48 | } catch (FileNotFoundException e) {
49 | // TODO Auto-generated catch block
50 | e.printStackTrace();
51 | } catch (JWNLException e) {
52 | // TODO Auto-generated catch block
53 | e.printStackTrace();
54 | } catch (Exception e) {
55 | // TODO Auto-generated catch block
56 | e.printStackTrace();
57 | }
58 | }
59 |
60 | @Override
61 | public float getSimilarity(String s, String t) {
62 |
63 | float sim = 0;
64 | String[] sourceList = WordStringUtils.generateMultiWordString(s).split(
65 | " ");
66 | String[] targetList = WordStringUtils.generateMultiWordString(t).split(
67 | " ");
68 |
69 | float sSimSum = 0;
70 | for (String source : sourceList) {
71 | float best = 0;
72 | for (String target : targetList) {
73 | try {
74 | sim = (float) simMeasure.getSimilarity(source, target)
75 | .getSimilarity();
76 | if (sim > 5.1472476E9) {
77 | sim = 1;
78 | }
79 | if (best < sim) {
80 | best = sim;
81 | }
82 | } catch (JWNLException e) {
83 | e.printStackTrace();
84 | }
85 | }
86 | sSimSum += best;
87 | }
88 | float sSim = sSimSum / sourceList.length;
89 |
90 | float tSimSum = 0;
91 | for (String target : targetList) {
92 | float best = 0;
93 | for (String source : sourceList) {
94 | try {
95 | sim = (float) simMeasure.getSimilarity(source, target)
96 | .getSimilarity();
97 | if (sim > 5.1472476E9) {
98 | sim = 1;
99 | }
100 | if (best < sim) {
101 | best = sim;
102 | }
103 | } catch (JWNLException e) {
104 | e.printStackTrace();
105 | }
106 | }
107 | tSimSum += best;
108 | }
109 | float tSim = tSimSum / targetList.length;
110 |
111 | sim = (sSim + tSim) / 2;
112 |
113 | return sim;
114 | }
115 | }
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/impl/SSTop_Jaccard.java:
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1 | package gov.nist.msi.ssmpi.similarity.impl;
2 |
3 | import gov.nist.msi.ssmpi.similarity.StringSimilarity;
4 | import gov.nist.msi.ssmpi.similarity.utils.WordStringUtils;
5 | import uk.ac.shef.wit.simmetrics.similaritymetrics.AbstractStringMetric;
6 | import uk.ac.shef.wit.simmetrics.similaritymetrics.JaccardSimilarity;
7 |
8 | /**
9 | * @author Jaewook Kim
10 | *
11 | */
12 | public class SSTop_Jaccard implements
13 | StringSimilarity {
14 |
15 | public SSTop_Jaccard() {
16 | super();
17 | // TODO Auto-generated constructor stub
18 | }
19 |
20 | @Override
21 | public float getSimilarity(String s, String t) {
22 | String source = WordStringUtils
23 | .generateMultiWordString(s);
24 | String target = WordStringUtils
25 | .generateMultiWordString(t);
26 | AbstractStringMetric metric = new JaccardSimilarity();
27 | float sim = metric.getSimilarity(source, target);
28 | return sim;
29 | }
30 |
31 | }
32 |
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/impl/SSTop_WN_Cosine.java:
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1 | package gov.nist.msi.ssmpi.similarity.impl;
2 |
3 | import gov.nist.msi.ssmpi.similarity.StringSimilarity;
4 | import gov.nist.msi.ssmpi.similarity.similaritymetrics.CosineSimilarity2;
5 | import uk.ac.shef.wit.simmetrics.similaritymetrics.AbstractStringMetric;
6 |
7 | /**
8 | * @author Jaewook Kim
9 | *
10 | */
11 | public class SSTop_WN_Cosine extends AbstractSchemaSimilarityByWordNet
12 | implements StringSimilarity {
13 |
14 | public SSTop_WN_Cosine() {
15 | super();
16 | }
17 |
18 | @Override
19 | public float getSimilarity(String s, String t) {
20 |
21 | String sourceDef = getWordNetDef(s);
22 | String targetDef = getWordNetDef(t);
23 |
24 | AbstractStringMetric metric = new CosineSimilarity2();
25 | float sim = metric.getSimilarity(sourceDef, targetDef);
26 | return sim;
27 | }
28 |
29 | }
30 |
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/impl/SSTop_WN_IC_Cosine.java:
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1 | package gov.nist.msi.ssmpi.similarity.impl;
2 |
3 | import gov.nist.msi.ssmpi.similarity.StringSimilarity;
4 | import gov.nist.msi.ssmpi.similarity.similaritymetrics.CosineSimilarity2;
5 | import gov.nist.msi.ssmpi.similarity.utils.WordInformationContents;
6 | import gov.nist.msi.ssmpi.similarity.utils.WordStringUtils;
7 |
8 | import java.util.HashMap;
9 |
10 | import uk.ac.shef.wit.simmetrics.similaritymetrics.AbstractStringMetric;
11 |
12 | /**
13 | * @author Jaewook Kim
14 | *
15 | */
16 | public class SSTop_WN_IC_Cosine extends AbstractSchemaSimilarityByWordNet implements StringSimilarity{
17 | private WordInformationContents icHandler;
18 | private HashMap cachedDef = new HashMap();
19 |
20 | public SSTop_WN_IC_Cosine() {
21 | super();
22 | icHandler = new WordInformationContents();
23 | }
24 |
25 | public SSTop_WN_IC_Cosine(String[] informationList) {
26 | icHandler = new WordInformationContents(informationList);
27 | }
28 |
29 | private String getFixedLenWNDef(String name) {
30 |
31 | if (name.trim().length() == 0) {
32 | System.out
33 | .println("getFixedLenWNDef(String) - SSTop_WN_IC_Cosine: warn: empty string"); //$NON-NLS-1$
34 | return "";
35 | }
36 |
37 | if (cachedDef.containsKey(name)) {
38 | return cachedDef.get(name);
39 | }
40 |
41 | int FIXED_WNDEF_LEN = 200;
42 |
43 | // get the sum of the information contents of all splitted words
44 | double sumIC = 0;
45 | String text2 = WordStringUtils.generateMultiWordString(name);
46 | String[] wordList = text2.split(" ");
47 | for (String string : wordList) {
48 | string = string.trim();
49 | if (string.length() == 0) {
50 | System.out
51 | .println("getFixedLenWNDef(String) - SSTop_WN_IC_Cosine: warn: empty string in list"); //$NON-NLS-1$
52 | continue;
53 | }
54 | sumIC += icHandler.getPI(string);
55 | }
56 |
57 | StringBuffer fixedLenDef = new StringBuffer();
58 | // get the fixed lengh wordnet definition;
59 | // merging the definitions of all splitted words according to ratio
60 | // length
61 | for (String string : wordList) {
62 | string = string.trim();
63 | double icValue = icHandler.getPI(string);
64 | double ratioEffect = icValue / sumIC;
65 | int ratioWordLen = (int) (FIXED_WNDEF_LEN * ratioEffect);
66 |
67 | String def = getWordNetDef(string);
68 |
69 | String[] defSplit = def.split(" ");
70 |
71 | if (defSplit.length == 0) {
72 | System.out
73 | .println("getFixedLenWNDef(String) - SSTop_WN_IC_Cosine: info: no wordnet def: " + string); //$NON-NLS-1$
74 | continue;
75 | }
76 |
77 | for (int i = 0; i < ratioWordLen; i++) {
78 | int defSplitIndex = i % defSplit.length;
79 | fixedLenDef.append(defSplit[defSplitIndex] + " ");
80 | }
81 | }
82 |
83 | String fixedLenDefStr = fixedLenDef.toString();
84 | cachedDef.put(name, fixedLenDefStr);
85 | return fixedLenDefStr;
86 | }
87 |
88 | @Override
89 | public float getSimilarity(String s, String t) {
90 | String sNodeDef = getFixedLenWNDef(s);
91 | String tNodeDef = getFixedLenWNDef(t);
92 |
93 | AbstractStringMetric metric = new CosineSimilarity2();
94 | float sim = metric.getSimilarity(sNodeDef, tNodeDef);
95 | return sim;
96 | }
97 | }
98 |
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/impl/SSTop_WN_Jaccard.java:
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1 | package gov.nist.msi.ssmpi.similarity.impl;
2 |
3 | import gov.nist.msi.ssmpi.similarity.StringSimilarity;
4 | import uk.ac.shef.wit.simmetrics.similaritymetrics.AbstractStringMetric;
5 | import uk.ac.shef.wit.simmetrics.similaritymetrics.JaccardSimilarity;
6 |
7 | /**
8 | * @author Jaewook Kim
9 | *
10 | */
11 | public class SSTop_WN_Jaccard extends AbstractSchemaSimilarityByWordNet
12 | implements StringSimilarity {
13 |
14 | public SSTop_WN_Jaccard() {
15 | super();
16 | }
17 |
18 | @Override
19 | public float getSimilarity(String s, String t) {
20 | String sourceDef = getWordNetDef(s);
21 | String targetDef = getWordNetDef(t);
22 |
23 | // AbstractStringMetric metric = new MongeElkan();
24 | AbstractStringMetric metric = new JaccardSimilarity();
25 | float sim = metric.getSimilarity(sourceDef, targetDef);
26 | // System.out.println(source + " : " + target + " = " + sim);
27 | return sim;
28 | }
29 |
30 | }
31 |
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/utils/WordInformationContents.java:
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1 | package gov.nist.msi.ssmpi.similarity.utils;
2 |
3 | import java.util.Hashtable;
4 |
5 |
6 | /**
7 | * @author Jaewook Kim
8 | *
9 | */
10 | public class WordInformationContents {
11 |
12 | private long totalTermsPopulation = 0;
13 | private Hashtable totalTermsFreqMap;
14 |
15 | public WordInformationContents() {
16 | super();
17 | }
18 |
19 | public WordInformationContents(String[] t) {
20 | calculatePI(t);
21 | }
22 |
23 | private void addTermFreq(String[] nodeList) {
24 |
25 | for (String node : nodeList) {
26 | String text2 = WordStringUtils.generateMultiWordString(node);
27 | String[] wordList = text2.split(" ");
28 | for (String string : wordList) {
29 | string = string.trim();
30 | Long count = totalTermsFreqMap.get(string);
31 | if ( count == null)
32 | count = 0L;
33 |
34 | totalTermsFreqMap.put(string, ++count);
35 | totalTermsPopulation++;
36 | }
37 | }
38 | }
39 | /**
40 | * calculate Atoms' probability information again
41 | * after merging the population of the source and target atoms.
42 | * This should be called before calculating the similarities.
43 | */
44 | protected void calculatePI(String[] t) {
45 | totalTermsFreqMap = new Hashtable();
46 |
47 | totalTermsPopulation = 0;
48 |
49 | addTermFreq(t);
50 | }
51 |
52 | /**
53 | * @param atom
54 | * @return
55 | */
56 | public double getPI(String nodeName) {
57 | Long nodeCount = totalTermsFreqMap.get(nodeName);
58 | if (nodeCount == null) {
59 | return 0;
60 | }
61 |
62 | double pi = - Math.log(((double)nodeCount) / totalTermsPopulation);
63 | return pi;
64 | }
65 |
66 | }
67 |
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/SimilarityUtils/src/gov/nist/msi/ssmpi/similarity/utils/WordStringUtils.java:
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1 | package gov.nist.msi.ssmpi.similarity.utils;
2 |
3 | public class WordStringUtils {
4 | public static String generateMultiWordString(String s) {
5 | StringBuffer result = new StringBuffer();
6 | for (int i = 0; i < s.length(); i++) {
7 | if ( s.charAt(i) >= 'A' && s.charAt(i) <= 'Z') {
8 | result.append(" " + s.charAt(i));
9 | i++;
10 | if (i < s.length()) {
11 | result.append(s.charAt(i));
12 | }
13 | } else {
14 | result.append(s.charAt(i));
15 | }
16 | }
17 |
18 | String resultStr = result.toString();
19 |
20 | return resultStr.trim();
21 | }
22 |
23 |
24 | public static String removeStopwords(String t) {
25 |
26 | t = t.replaceAll("[();\"'.,]?", "");
27 |
28 | // extracted from http://www.ranks.nl/tools/stopwords.html
29 | t = t.replaceAll(" a ", " ")
30 | .replaceAll(" the ", " ")
31 | .replaceAll(" and ", " ")
32 | .replaceAll(" or ", " ")
33 | .replaceAll(" in ", " ")
34 | .replaceAll(" of ", " ")
35 | .replaceAll(" to ", " ")
36 | .replaceAll(" that ", " ")
37 | .replaceAll(" it ", " ")
38 | .replaceAll(" i ", " ")
39 | .replaceAll(" you ", " ")
40 | .replaceAll(" about ", " ")
41 | .replaceAll(" an ", " ")
42 | .replaceAll(" are ", " ")
43 | .replaceAll(" as ", " ")
44 | .replaceAll(" at ", " ")
45 | .replaceAll(" be ", " ")
46 | .replaceAll(" by ", " ")
47 | .replaceAll(" for ", " ")
48 | .replaceAll(" from ", " ")
49 | .replaceAll(" how ", " ")
50 | .replaceAll(" is ", " ")
51 | .replaceAll(" on ", " ")
52 | .replaceAll(" this ", " ")
53 | .replaceAll(" was ", " ")
54 | .replaceAll(" what ", " ")
55 | .replaceAll(" when ", " ")
56 | .replaceAll(" where ", " ")
57 | .replaceAll(" who ", " ")
58 | .replaceAll(" will ", " ")
59 | .replaceAll(" into ", " ")
60 | .replaceAll(" which ", " ")
61 | .replaceAll(" with ", " ");
62 | return t;
63 | }
64 |
65 | }
66 |
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/SimilarityUtils/test/domain_independent.txt:
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1 | #These are semantic class labels which we may want to use
2 | #in any domain (the senses are for WordNet 2)
3 | namperson person#n#1
4 | namcompany organisation#n#3
5 | namorganisation organisation#n#3
6 | nampost post#n#3
7 | namlocation geographic_area#n#1
8 | nammoney money#n#1
9 | namdate day#n#2
10 |
11 | #These are domain dependent tags which could actually appear
12 | #in any documents and don't change depending on the domain of the
13 | #document being considered
14 | namprotein protein#n#1
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/SimilarityUtils/test/gov/nist/msi/ssmpi/similarity/impl/SSTop_CosineTest.java:
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1 | package gov.nist.msi.ssmpi.similarity.impl;
2 |
3 | import gov.nist.msi.ssmpi.similarity.StringSimilarity;
4 |
5 | public class SSTop_CosineTest {
6 |
7 | static String s = "stay";
8 | static String t = "arrest";
9 | //arrest, check, halt, hitch, stay, stop, stoppage
10 |
11 | public static void testGetSimilarity1() {
12 | StringSimilarity sim = new SSTop_Cosine();
13 | float r = sim.getSimilarity(s, t);
14 | System.out.println(r);
15 | }
16 |
17 | public static void testGetSimilarity2() {
18 | StringSimilarity sim = new SSTop_Jaccard();
19 | float r = sim.getSimilarity(s, t);
20 | System.out.println(r);
21 | }
22 |
23 | public static void testGetSimilarity3() {
24 | StringSimilarity sim = new SSTop_ICofWN();
25 | float r = sim.getSimilarity(s, t);
26 | System.out.println(r);
27 | }
28 |
29 | public static void testGetSimilarity4() {
30 | StringSimilarity sim = new SSTop_WN_Cosine();
31 | float r = sim.getSimilarity(s, t);
32 | System.out.println(r);
33 | }
34 |
35 | public static void testGetSimilarity5() {
36 | String[] informationList = { "Car", "Automobile", "Car", "Information",
37 | "Data", "Car", "Automobile", "File" };
38 | StringSimilarity sim = new SSTop_WN_IC_Cosine(informationList);
39 | float r = sim.getSimilarity(s, t);
40 | System.out.println(r);
41 | }
42 |
43 | public static void testGetSimilarity6() {
44 | StringSimilarity sim = new SSTop_WN_Jaccard();
45 | float r = sim.getSimilarity(s, t);
46 | System.out.println(r);
47 | }
48 |
49 | public static void main(String[] args) {
50 | //testGetSimilarity4();
51 | s = "eat";
52 | t = "sleep";
53 | testGetSimilarity6();
54 |
55 | s = "stay";
56 | t = "halt";
57 | testGetSimilarity6();
58 |
59 | s = "stay";
60 | t = "check";
61 | testGetSimilarity6();
62 |
63 | s = "stay";
64 | t = "stop";
65 | testGetSimilarity6();
66 |
67 | s = "stay";
68 | t = "hitch";
69 | testGetSimilarity6();
70 |
71 | s = "stay";
72 | t = "stoppage";
73 | testGetSimilarity6();
74 |
75 | }
76 | }
77 |
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/SimilarityUtils/test/wordnet.xml:
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3 | SolrCommons
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9 | org.eclipse.jdt.core.javabuilder
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15 | org.eclipse.jdt.core.javanature
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/SolrCommons/.settings/org.eclipse.jdt.core.prefs:
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1 | eclipse.preferences.version=1
2 | org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled
3 | org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.7
4 | org.eclipse.jdt.core.compiler.codegen.unusedLocal=preserve
5 | org.eclipse.jdt.core.compiler.compliance=1.7
6 | org.eclipse.jdt.core.compiler.debug.lineNumber=generate
7 | org.eclipse.jdt.core.compiler.debug.localVariable=generate
8 | org.eclipse.jdt.core.compiler.debug.sourceFile=generate
9 | org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
10 | org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
11 | org.eclipse.jdt.core.compiler.source=1.7
12 |
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/SolrCommons/bin/com/solr/opennlp/util/OpenNLPUtil.class:
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/SolrCommons/bin/nf/solr/test/TamingTextTestJ4.class:
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/SolrCommons/src/com/solr/opennlp/util/OpenNLPUtil.java:
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1 | package com.solr.opennlp.util;
2 |
3 | import java.io.File;
4 | import java.util.Map;
5 |
6 | import org.slf4j.Logger;
7 | import org.slf4j.LoggerFactory;
8 |
9 | public class OpenNLPUtil {
10 | static {
11 | System.setProperty("model.dir",
12 | "C:\\Users\\Atechian\\Desktop\\WProto\\opennlp-models");
13 | System.setProperty("wordnet.dir",
14 | "C:\\Users\\Atechian\\Desktop\\WProto\\WordNet-3.0");
15 | }
16 |
17 | private static final Logger log = LoggerFactory
18 | .getLogger(OpenNLPUtil.class);
19 | private static final String DEFAULT_MODEL_LANGUAGE = "en";
20 |
21 | public static String getModelDirectory(Map args) {
22 | String modelDirectory = null;
23 |
24 | if (args != null) {
25 | modelDirectory = args.get("modelDirectory");
26 | }
27 |
28 | if (modelDirectory == null || modelDirectory.equals("")) {
29 | modelDirectory = System.getProperty("model.dir");
30 | }
31 |
32 | if (modelDirectory == null || modelDirectory.equals("")) {
33 | throw new RuntimeException(
34 | "Configuration Error: modelDirectory argument "
35 | + "or model.dir system property not set: "
36 | + modelDirectory);
37 | } else {
38 | log.info("Model directory is: {}", modelDirectory);
39 | }
40 |
41 | return modelDirectory;
42 | }
43 |
44 | public static String getModelLanguage(Map args) {
45 | String modelLanguage = null;
46 |
47 | if (args != null) {
48 | args.get("modelLanguage");
49 | }
50 |
51 | if (modelLanguage == null || modelLanguage.equals("")) {
52 | modelLanguage = System.getProperty("model.language");
53 | }
54 |
55 | if (modelLanguage == null || modelLanguage.equals("")) {
56 | log.warn("modelLanguage argument or model.language property not set, "
57 | + "using default: " + DEFAULT_MODEL_LANGUAGE);
58 | modelLanguage = DEFAULT_MODEL_LANGUAGE;
59 | }
60 |
61 | return modelLanguage;
62 | }
63 | }
64 |
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/SolrCommons/src/nf/solr/test/TamingTextTestJ4.java:
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1 | /*
2 | * Copyright 2008-2011 Grant Ingersoll, Thomas Morton and Drew Farris
3 | *
4 | * Licensed under the Apache License, Version 2.0 (the "License");
5 | * you may not use this file except in compliance with the License.
6 | * You may obtain a copy of the License at
7 | *
8 | * http://www.apache.org/licenses/LICENSE-2.0
9 | *
10 | * Unless required by applicable law or agreed to in writing, software
11 | * distributed under the License is distributed on an "AS IS" BASIS,
12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 | * See the License for the specific language governing permissions and
14 | * limitations under the License.
15 | * -------------------
16 | * To purchase or learn more about Taming Text, by Grant Ingersoll, Thomas Morton and Drew Farris, visit
17 | * http://www.manning.com/ingersoll
18 | */
19 |
20 | package nf.solr.test;
21 |
22 |
23 | import junit.framework.Assert;
24 | import org.junit.BeforeClass;
25 |
26 | import java.io.File;
27 |
28 | /**
29 | *
30 | *
31 | **/
32 | public class TamingTextTestJ4 extends Assert {
33 | @BeforeClass
34 | public static void setUp() {
35 |
36 |
37 | }
38 | static {
39 | System.setProperty("model.dir", "/Users/914957/Documents/DeepQA/DeepQASupport/opennlp_models");
40 | System.setProperty("wordnet.dir", "/Users/914957/Documents/DeepQA/DeepQASupport/WordNet-3.0");
41 | }
42 | public static File getWordNetDir(){
43 | String wordnetDir = System.getProperty("wordnet.dir");
44 |
45 | return new File(wordnetDir);
46 | }
47 |
48 | public static File getWordNetDictionary(){
49 | return new File(getWordNetDir(), "dict");
50 | }
51 |
52 | public static File getModelDir(){
53 | String modelsDirProp = System.getProperty("model.dir");
54 |
55 | return new File(modelsDirProp);
56 | }
57 |
58 | public static File getEnglishDir(){
59 | return new File(getModelDir(), "english");
60 | }
61 |
62 | public static File getNameFindDir(){
63 | return new File(getModelDir(), "namefind");
64 | }
65 |
66 | public static File getSentDetectDir(){
67 | return new File(getModelDir(), "sentdetect");
68 | }
69 |
70 | public static File getChunkerDir(){
71 | return new File(getModelDir(), "chunker");
72 | }
73 |
74 | public static File getParserDir(){
75 | return new File(getModelDir(), "parser");
76 | }
77 |
78 | public static File getPOSDir(){
79 | return new File(getModelDir(), "postag");
80 | }
81 |
82 | public static File getPersonModel(){
83 | return new File(getModelDir(), "en-ner-person.bin");
84 | }
85 |
86 |
87 | }
88 |
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