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ORCID4th BlackboxNLP@EMNLP 2021: Punta Cana, Dominican Republic
- Jasmijn Bastings, Yonatan Belinkov, Emmanuel Dupoux, Mario Giulianelli, Dieuwke Hupkes, Yuval Pinter, Hassan Sajjad:
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2021, Punta Cana, Dominican Republic, November 11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-955917-06-3 - Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams:
To what extent do human explanations of model behavior align with actual model behavior? 1-14 - Jenny Kunz, Marco Kuhlmann:
Test Harder than You Train: Probing with Extrapolation Splits. 15-25 - Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, Ngoc Thang Vu:
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings. 26-41 - Laura Aina, Tal Linzen:
The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation. 42-57 - Jannis Vamvas
, Rico Sennrich:
On the Limits of Minimal Pairs in Contrastive Evaluation. 58-68 - Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh:
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations. 69-78 - Marianna Apidianaki, Aina Garí Soler:
ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their Prototypicality. 79-94 - Tessa Masis, Carolyn Jane Anderson:
ProSPer: Probing Human and Neural Network Language Model Understanding of Spatial Perspective. 95-135 - Rahma Chaabouni, Roberto Dessì, Eugene Kharitonov:
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN. 136-148 - Tobias Norlund, Lovisa Hagström, Richard Johansson:
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it? 149-162 - Bertrand Higy, Lieke Gelderloos, Afra Alishahi, Grzegorz Chrupala:
Discrete representations in neural models of spoken language. 163-176 - Adly Templeton:
Word Equations: Inherently Interpretable Sparse Word Embeddings through Sparse Coding. 177-191 - Paolo Pedinotti, Eliana Di Palma, Ludovica Cerini, Alessandro Lenci:
A howling success or a working sea? Testing what BERT knows about metaphors. 192-204 - Minghan Wang, Jiaxin Guo, Yuxia Wang, Yimeng Chen, Chang Su, Hengchao Shang, Min Zhang, Shimin Tao, Hao Yang:
How Length Prediction Influence the Performance of Non-Autoregressive Translation? 205-213 - Marc Tanti, Lonneke van der Plas, Claudia Borg, Albert Gatt:
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning. 214-227 - Ting-Rui Chiang, Yun-Nung Chen:
Relating Neural Text Degeneration to Exposure Bias. 228-239 - Robert Schwarzenberg, Nils Feldhus, Sebastian Möller:
Efficient Explanations from Empirical Explainers. 240-249 - Qinxuan Wu, Allyson Ettinger:
Variation and generality in encoding of syntactic anomaly information in sentence embeddings. 250-264 - Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. 265-274 - Michael Hanna, David Marecek:
Analyzing BERT's Knowledge of Hypernymy via Prompting. 275-282 - Federico Fancellu, Lan Xiao, Allan D. Jepson, Afsaneh Fazly:
An in-depth look at Euclidean disk embeddings for structure preserving parsing. 283-295 - Arka Talukdar, Monika Dagar, Prachi Gupta, Varun Menon:
Training Dynamic based data filtering may not work for NLP datasets. 296-302 - Lis Kanashiro Pereira, Yuki Taya, Ichiro Kobayashi:
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently. 303-310 - Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon:
Screening Gender Transfer in Neural Machine Translation. 311-321 - Ayush Kumar, Mukuntha Narayanan Sundararaman, Jithendra Vepa:
What BERT Based Language Model Learns in Spoken Transcripts: An Empirical Study. 322-336 - Hitomi Yanaka, Koji Mineshima:
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference. 337-349 - Radina Dobreva, Frank Keller:
Investigating Negation in Pre-trained Vision-and-language Models. 350-362 - Nikolay Bogoychev:
Not all parameters are born equal: Attention is mostly what you need. 363-374 - Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar:
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations. 375-388 - Maria Ryskina, Kevin Knight:
Learning Mathematical Properties of Integers. 389-395 - Shivin Thukral, Kunal Kukreja, Christian Kavouras:
Probing Language Models for Understanding of Temporal Expressions. 396-406 - Badr Abdullah, Iuliia Zaitova, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings. 407-419 - Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi:
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. 420-434 - Samuel Stevens, Yu Su:
An Investigation of Language Model Interpretability via Sentence Editing. 435-446 - Parsa Bagherzadeh, Sabine Bergler:
Interacting Knowledge Sources, Inspection and Analysis: Case-studies on Biomedical text processing. 447-456 - Anahita Samadi, Debapriya Banerjee, Shirin Nilizadeh:
Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms. 457-467 - Ionut-Teodor Sorodoc, Gemma Boleda, Marco Baroni:
Controlled tasks for model analysis: Retrieving discrete information from sequences. 468-478 - Héctor Vázquez Martínez:
The Acceptability Delta Criterion: Testing Knowledge of Language using the Gradience of Sentence Acceptability. 479-495 - Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks. 496-509 - Bastien Liétard, Mostafa Abdou, Anders Søgaard:
Do Language Models Know the Way to Rome? 510-517 - Daisuke Oba, Naoki Yoshinaga, Masashi Toyoda:
Exploratory Model Analysis Using Data-Driven Neuron Representations. 518-528 - Jason Phang, Haokun Liu, Samuel R. Bowman:
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers. 529-538 - Luke Gessler, Nathan Schneider:
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology. 539-547
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