Anna Rogers
Anna Rogers
Center for Social Data Science, University of Copenhagen
Verified email at - Homepage
Cited by
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A primer in bertology: What we know about how bert works
A Rogers, O Kovaleva, A Rumshisky
Transactions of the Association for Computational Linguistics 8, 842-866, 2020
Revealing the Dark Secrets of BERT
O Kovaleva, A Romanov, A Rogers, A Rumshisky
arXiv preprint arXiv:1908.08593, 2019
Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.
A Gladkova, A Drozd, S Matsuoka
Proceedings of the NAACL Student Research Workshop, 8-15, 2016
Word Embeddings, Analogies, and Machine Learning: Beyond King - Man+ Woman= Queen
A Drozd, A Gladkova, S Matsuoka
Intrinsic Evaluations of Word Embeddings: What Can We Do Better?
A Gladkova, A Drozd
ACL 2016, 36, 2016
When BERT Plays the Lottery, All Tickets Are Winning
S Prasanna, A Rogers, A Rumshisky
arXiv preprint arXiv:2005.00561, 2020
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian
A Rogers, A Romanov, A Rumshisky, S Volkova, M Gronas, A Gribov
Proceedings of the 27th International Conference on Computational …, 2018
The (too many) problems of analogical reasoning with word vectors
A Rogers, A Drozd, B Li
Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017
What’s in Your Embedding, And How It Predicts Task Performance
A Rogers, SH Ananthakrishna, A Rumshisky
COLING 2018, 2018
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
B Li, T Liu, Z Zhao, B Tang, A Drozd, A Rogers, X Du
2017 Conference on Empirical Methods in Natural Language Processing …, 2017
Changing the World by Changing the Data
A Rogers
arXiv preprint arXiv:2105.13947, 2021
Adversarial Decomposition of Text Representation
A Romanov, A Rumshisky, A Rogers, D Donahue
arXiv preprint arXiv:1808.09042, 2018
Getting closer to AI complete question answering: A set of prerequisite real tasks
A Rogers, O Kovaleva, M Downey, A Rumshisky
Proceedings of the AAAI Conference on Artificial Intelligence, 2020
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
A Rogers, M Gardner, I Augenstein
arXiv preprint arXiv:2107.12708, 2021
What Can We Do to Improve Peer Review in NLP?
A Rogers, I Augenstein
arXiv preprint arXiv:2010.03863, 2020
How the Transformers broke NLP leaderboards
A Rogers
Hacking Semantics Blog, 2019, 2019
The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations
E Santus, A Gladkova, S Evert, A Lenci
Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex …, 2016
BERT busters: Outlier dimensions that disrupt transformers
O Kovaleva, S Kulshreshtha, A Rogers, A Rumshisky
arXiv preprint arXiv:2105.06990, 2021
Subcharacter Information in Japanese Embeddings: When Is It Worth It?
M Karpinska, B Li, A Rogers, A Drozd
Proceedings of the Workshop on the Relevance of Linguistic Structure in …, 2018
Just What do You Think You're Doing, Dave?'A Checklist for Responsible Data Use in NLP
A Rogers, T Baldwin, K Leins
arXiv preprint arXiv:2109.06598, 2021
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