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ORCID3rd BlackboxNLP@EMNLP 2020: Online
- Afra Alishahi, Yonatan Belinkov, Grzegorz Chrupala, Dieuwke Hupkes, Yuval Pinter, Hassan Sajjad:
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2020, Online, November 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-86-6 - Varun Gangal, Eduard H. Hovy:
BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? - A Study on the RAMS Dataset. 1-10 - Eugene Kharitonov, Marco Baroni:
Emergent Language Generalization and Acquisition Speed are not tied to Compositionality. 11-15 - Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz:
Examining the rhetorical capacities of neural language models. 16-32 - Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, Ian Tenney:
What Happens To BERT Embeddings During Fine-tuning? 33-44 - Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg:
It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT. 45-56 - Naveen Jafer Nizar, Ari Kobren:
Leveraging Extracted Model Adversaries for Improved Black Box Attacks. 57-67 - Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow:
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. 68-82 - Lukas Muttenthaler, Isabelle Augenstein
, Johannes Bjerva:
Unsupervised Evaluation for Question Answering with Transformers. 83-90 - Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg:
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. 91-106 - Marcos V. Treviso, André F. T. Martins:
The Explanation Game: Towards Prediction Explainability through Sparse Communication. 107-118 - Yian Zhang:
Latent Tree Learning with Ordered Neurons: What Parses Does It Produce? 119-125 - Chuanrong Li, Lin Shengshuo, Zeyu Liu, Xinyi Wu, Xuhui Zhou, Shane Steinert-Threlkeld:
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets. 126-135 - Hande Çelikkanat, Sami Virpioja, Jörg Tiedemann, Marianna Apidianaki:
Controlling the Imprint of Passivization and Negation in Contextualized Representations. 136-148 - Jasmijn Bastings, Katja Filippova:
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? 149-155 - David Yenicelik, Florian Schmidt, Yannic Kilcher:
How does BERT capture semantics? A closer look at polysemous words. 156-162 - Atticus Geiger, Kyle Richardson, Christopher Potts:
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation. 163-173 - Jaspreet Singh, Jonas Wallat, Avishek Anand:
BERTnesia: Investigating the capture and forgetting of knowledge in BERT. 174-183 - Devin Johnson, Denise Mak, Andrew Barker, Lexi Loessberg-Zahl:
Probing for Multilingual Numerical Understanding in Transformer-Based Language Models. 184-192 - Rajiv Movva, Jason Y. Zhao:
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation. 193-203 - Andrew Runge, Eduard H. Hovy:
Exploring Neural Entity Representations for Semantic Information. 204-216 - R. Thomas McCoy, Junghyun Min, Tal Linzen:
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance. 217-227 - John X. Morris:
Second-Order NLP Adversarial Examples. 228-237 - Paul Soulos, R. Thomas McCoy, Tal Linzen, Paul Smolensky:
Discovering the Compositional Structure of Vector Representations with Role Learning Networks. 238-254 - Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong:
Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis. 255-264 - Tristan Thrush, Ethan Wilcox, Roger Levy:
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization. 265-275 - Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning:
The EOS Decision and Length Extrapolation. 276-291 - Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings capture Scales? 292-299 - Yiding Hao:
Evaluating Attribution Methods using White-Box LSTMs. 300-313 - Tejaswani Verma, Christoph Lingenfelder, Dietrich Klakow:
Defining Explanation in an AI Context. 314-322 - Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi:
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples. 323-332 - Coleman Haley:
This is a BERT. Now there are several of them. Can they generalize to novel words? 333-341 - Jaap Jumelet:
diagNNose: A Library for Neural Activation Analysis. 342-350
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