├── LICENSE
└── README.md


/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2020 Aditya Khandelwal
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
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12 | The above copyright notice and this permission notice shall be included in all
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15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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/README.md:
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 1 | # Transformers-For-Negation-and-Speculation
 2 | 1. Transformers_for_Negation_and_Speculation.ipynb:
 3 |   > This is the code for the following papers:
 4 | * [NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution](https://arxiv.org/abs/1911.04211) (Published at LREC 2020)
 5 | * [Resolving the Scope of Speculation and Negation using Transformer-Based Architectures](https://arxiv.org/abs/2001.02885)
 6 | 2. Multitask_Learning_of_Negation_and_Speculation.ipynb:
 7 |   > This is the code for the following paper:
 8 | * [Multitask Learning of Negation and Speculation using Transformers](https://www.aclweb.org/anthology/2020.louhi-1.9.pdf) (Published at LOUHI 2020)
 9 | 
10 | Code has been utilized from the following sources:
11 | * The starter code was taken from [this article on Named Entity Recognition with Bert](https://www.depends-on-the-definition.com/named-entity-recognition-with-bert/).  
12 | * To be able to implement XLNetForTokenClassification and RobertaForTokenClassification for the [Transformers library by Huggingface](https://github.com/huggingface/transformers), some code was copy-pasted from that code base.  
13 | * The implementation of Early Stopping for PyTorch was adapted from [Bjarten's implementation(GitHub)](https://github.com/Bjarten/early-stopping-pytorch/blob/master/pytorchtools.py).
14 | 
15 | The colab notebook can be executed directly from Google Colaboratory.
16 | 
17 | Datasets:
18 | 1. [BioScope Corpus](https://rgai.sed.hu/node/105)
19 | 2. [Sherlock (*sem 2012 Shared Task)](https://www.clips.uantwerpen.be/sem2012-st-neg/)
20 | 3. [SFU Review Corpus](https://www.sfu.ca/~mtaboada/SFU_Review_Corpus.html)
21 | 
22 | Contributors: [Aditya Khandelwal](https://github.com/adityak6798), [Benita Kathleen Britto](https://github.com/benitakbritto)
23 | 


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