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README.md

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 # BERTLiterature
 This contains an annotated bibliography and a literature review examining the robustness of BERT for text classification tasks and how to improve it. This stuff is pretty cool to me and I am still slowly learning, so maybe these resources can help you out with your own NLP text classification tasks!
+
+## Papers used 
+
+### BERT verus other methods
+- **BERT vs. ML**: (["Comparing BERT against traditional machine learning text classification"(Gonzales et al.)](https://arxiv.org/abs/2005.13012)).
+
+- **BERT vs. ML for small datasets**: (["Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches"(Usherwood et al.)](https://arxiv.org/abs/1907.07543)).
+- **BERT for drug reviews**: (["10.	Comparing deep learning architectures for sentiment analysis on drug reviews"(Colon et al.)](https://www.sciencedirect.com/science/article/pii/S1532046420301672?casa_token=y_yrQlPLUo4AAAAA:TU4SWv2AXialGiaYbkJbEC7oaUD76N63CM1Q4wNxV05iiC7_VUvoVHZbyqesEeNxWFDzkxTU)).
+
+- **BERT for Alzheimer's Disease Detection**: (["To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection"(Balagopalan et al.)](https://arxiv.org/abs/2008.01551)).
+
+- **BERT in other cultures**: ([Antisocial Online Behavior Detection Using Deep Learning"(Zinovyeva
+ et al.)](https://www.researchgate.net/publication/342764307_Antisocial_Online_Behavior_Detection_Using_Deep_Learning)).
+
+- **BERT for radiological classification**: (["The Utility of General Domain Transfer Learning for Medical Language Tasks"(Ranti et al.)](https://arxiv.org/abs/2002.06670)).
+
+### Adversarial Papers
+- **textfooler**: Rule-based Adversarial Attacks (["Is Bert Really Robust?" (Jin et al., 2019)](https://arxiv.org/abs/1907.11932)).
+
+-  **bae**: BERT masked language model turned against itself (["BAE: BERT-based Adversarial Examples for Text Classification" (Garg & Ramakrishnan, 2019)](https://arxiv.org/abs/2004.01970)).
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+- **bert-attack**: BERT masked language model transformation with subword replacement strategy (["BERT-ATTACK: Adversarial Attack Against BERT Using BERT" (Li et al., 2020)](https://arxiv.org/abs/2004.09984)).
+
+### How to improve BERT
+- **Examining underneath BERT's hood**: (["How to Fine-Tune BERT for Text Classification?"(Sun et al.)](https://arxiv.org/abs/1905.05583)).
+
+- **BERT for clinincal data**: (["Publicly Available Clinical BERT Embeddings"(Alsentzer et al.)](https://arxiv.org/abs/1904.03323)).
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+- **BERT vs. Albert**: (["ALBERT: A Lite BERT for Self-supervised Learning of Language Representations"(Zhenzhong et al.)](https://arxiv.org/abs/1909.11942)).