├── .gitignore ├── 2014_MS_Handler_Abram.zip ├── README.MD ├── averagejacard.py ├── barcharter.py ├── barcharter_adjusted.py ├── chartmaker.py ├── count_adjuster.py ├── counter.py ├── deploy.sh ├── experiment.py ├── images ├── All.png ├── Holonym_Distance.png ├── Hypernym_Distance.png ├── Hyponym_Distance.png ├── Meronym_Distance.png ├── Synonym_Distance.png ├── adjusted_holoscatter.png ├── adjusted_holoscatter_log.png ├── adjusted_hyperscatter.png ├── adjusted_hyperscatter_log.png ├── adjusted_hyposcatter.png ├── adjusted_hyposcatter_log.png ├── adjusted_meroscatter.png ├── adjusted_meroscatter_log.png ├── adjusted_synscatter.png ├── adjusted_synscatter_log.png ├── holoscatter.png ├── holoscatter_log.png ├── hyperscatter.png ├── hyperscatter_log.png ├── hyposcatter.png ├── hyposcatter_log.png ├── loglog_prob.png ├── meroscatter.png ├── meroscatter_log.png ├── out.png ├── out_log.png ├── s.png ├── s_log.png ├── synscatter.png ├── synscatter_log.png ├── tescounts.png ├── tescounts_log.png ├── total.png └── total_adjusted.png ├── main.sh ├── paper ├── Adjusted.png ├── Antonym_Distance.png ├── Holonym_Distance.png ├── Hypernym_Distance.png ├── Hyponym_Distance.png ├── Likelyhood.png ├── Meronym_Distance.png ├── No_Relation.png ├── Same_stem.png ├── Synonym_Distance.png ├── Word2Vec_WordNet.zip ├── all.png ├── jacard.png ├── loglog_prob.png ├── main.tex ├── out.png ├── out_log.png ├── sample.bib ├── structure.xml └── total.png ├── plotmaker.sh ├── probability_calculator.py ├── process_results.sh ├── pull.sh ├── references ├── 1301.3781.pdf ├── 18lsi.pdf ├── A survey of NEr.pdf ├── A-survey-on-Relation-Extraction-Slides.pdf ├── AIST-final.pdf ├── Chapter 1 - Geometry, Numbers and Sets.html ├── Chapter 2 - The Graph Model Networks of Concepts.html ├── Chapter 3 - The Vertical Direction Concept Hierarchies.html ├── Chapter 4 - Measuring Similarity and Distance.html ├── Chapter 7 - Logic with Vectors Ambiguous Words and Quantum States.html ├── Chapter 8 - Concept Lattices Binding Everything Loosely Together.html ├── Combining n-gram based statistics with traditional methods for named entity recognition.pdf ├── Convolutional Deep Belief Networks.pdf ├── DependencyGrammer.pdf ├── DiscoveringRelationsUsingGraphs.pdf ├── Effectiveness and Efficiency of Open Relation Extraction-Mesquita.pdf ├── Efficient Estimation of Word Representations in Vector Space.pdf ├── Epilogue - Conclusions and Curtain Call.html ├── GoogleWords.pdf ├── How to identify relation synonyms.pdf ├── Incorporating Non-local Information into Information Extraction Systems by Gibbs Samplin.pdf ├── J06-1003.pdf ├── LandauerFoltz-Laham1998.pdf ├── Mining Text Data.pdf ├── NERAstro.pdf ├── NER_ComparisononTexts.pdf ├── NER_Specialized.pdf ├── Nature_search_shake-up.pdf ├── N‐gram and Gazetteer List Based Named Entity Recognition for Urdu.pdf ├── ProbabalisticFrameINduction.pdf ├── SemanticCodingOfDocuments.pdf ├── Sparse Information Extraction.pdf ├── Survey-on-Relation-Extraction_All.pdf ├── The Tradeoffs Between Open and Traditional Relation Extraction.pdf ├── Towards Large-Scale Unsupervised Relation Extraction from the Web.pdf ├── University of Washington -- Textrunner.pdf ├── University of Washington -- reverb.pdf ├── Word_sense_disambiguation.pdf ├── acl11-WordVectorsSentimentAnalysis.pdf ├── acl2011-chambers-templates.pdf ├── crf-tutorial.pdf ├── dependencies_manual.pdf ├── documentclustering.pdf ├── encycloped.pdf ├── findrelationsusinggraphs.pdf ├── information_bottleneck.pdf ├── irbookonlinereading.pdf ├── knowitall-aij.pdf ├── lrec_skipgrams.pdf ├── makela-semantic-search-2005.pdf ├── manning-IR-06.pdf ├── nformation Extraction from Web-Scale N-Gram Data.pdf ├── ontologizing-semantic-relations.pdf ├── openinfoextraction2ndgen.pdf ├── patty-emnlp12.pdf ├── semanticgraphs.pdf ├── semantics.pdf ├── textrunner.pdf ├── unsuperdocumentclass.pdf ├── vector-chapter-5-dominic.pdf ├── vector-chapter.pdf └── wordbigrams_biology.pdf ├── regression.py ├── sample.py ├── sample2.py ├── scattermaker.sh ├── scatterplot_maker.py ├── tests └── tester.py ├── total_count_chart_maker.py ├── total_count_chart_maker_adjusted.py ├── total_counter.sh ├── type_counter.sh ├── wordnetchecker.py └── wordnetter.py /.gitignore: -------------------------------------------------------------------------------- 1 | *txt 2 | word2vec/GoogleNews-vectors-negative300.bin 3 | *pyc 4 | png -------------------------------------------------------------------------------- /2014_MS_Handler_Abram.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AbeHandler/WordNet-Word2Vec/HEAD/2014_MS_Handler_Abram.zip -------------------------------------------------------------------------------- /README.MD: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AbeHandler/WordNet-Word2Vec/HEAD/README.MD 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