Billede af Anna Rogers

Anna Rogers

Ph.D.

 https://orcid.org/0000-0002-4845-4023
20152024

Publikationer pr. år

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  • 2024

    Copycats: the many lives of a publicly available medical imaging dataset

    Jiménez Sánchez, A., Avlona, N.-R., Juodelyte, D., Sourget, T., Vang-Larsen, C., Rogers, A., Zajac, H. D. & Cheplygina, V., 26 sep. 2024, Advances in Neural Information Processing Systems 38 (NeurIPS 2024) : Datasets and Benchmarks Track. 2024 udg. Bind NeurIPS. 22 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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  • NarrativeTime: Dense Temporal Annotation on a Timeline

    Rogers, A., Karpinska, M., Gupta, A., Lialin, V., Smelkov, G. & Rumshisky, A., 1 maj 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (red.). Torino, Italia: ELRA and ICCL, s. 12053-12073 21 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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  • 2023

    Program Chairs' Report on Peer Review at ACL 2023

    Rogers, A., Karpinska, M., Boyd-Graber, J. & Okazaki, N., 1 jul. 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Toronto, Canada: Association for Computational Linguistics, s. xl-lxxv

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning

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  • The ROOTS Search Tool: Data Transparency for LLMs

    Piktus, A., Akiki, C., Villegas, P., Laurençon, H., Dupont, G., Luccioni, S., Jernite, Y. & Rogers, A., 1 jul. 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). Toronto, Canada: Association for Computational Linguistics, s. 304-314 11 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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  • 2022

    Data Governance in the Age of Large-Scale Data-Driven Language Technology

    Jernite, Y., Nguyen, H., Biderman, S., Rogers, A., Masoud, M., Danchev, V., Tan, S., Luccioni, A. S., Subramani, N., Johnson, I., Dupont, G., Dodge, J., Lo, K., Talat, Z., Radev, D., Gokaslan, A., Nikpoor, S., Henderson, P., Bommasani, R. & Mitchell, M., 1 jun. 2022, 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: Association for Computing Machinery, s. 2206-2222 17 s. (FAccT '22).

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Machine Reading, Fast and Slow: When Do Models 'Understand' Language?

    Ray Choudhury, S., Rogers, A. & Augenstein, I., 2022, Proceedings of the 29th International Conference on Computational Linguistics. Gyeongju, Republic of Korea, s. 78-93 16 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Outliers Dimensions that Disrupt Transformers Are Driven by Frequency

    Puccetti, G., Rogers, A., Drozd, A. & Dell'Orletta, F., 2022, Findings of EMNLP 2022. Association for Computational Linguistics

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  • The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

    BigScience, Laurençon, H., Saulnier, L., Wang, T., Akiki, C., Villanova del Moral, A., Le Scao, T., von Werra, L., Mou, C., González Ponferrada, E., Nguyen, H., Frohberg, J., Šaško, M., Lhoest, Q., Mcmillan-Major, A., Dupont, G., Biderman, S., Rogers, A., Ben Allal, L. & de Toni, F. & 31 flere, Pistilli, G., Nguyen, O., Nikpoor, S., Masoud, M., Colombo, P., de la Rosa, J., Villegas, P., Thrush, T., Longpre, S., Nagel, S., Weber, L., Romero Muñoz, M., Zhu, J., van Strien, D., Alyafeai, Z., Almubarak, K., Chien, V. M., Gonzalez-Dios, I., Soroa, A., Lo, K., Dey, M., Ortiz Suarez, P., Gokaslan, A., Bose, S., Adelani, D. I., Phan, L., Tran, H., Yu, I., Pai, S., Chim, J. & Lepercq, V., 1 nov. 2022, Thirty-Sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track. New Orleans, United States

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  • What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review

    Thorn Jakobsen, T. & Rogers, A., 1 jul. 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Seattle, United States: Association for Computational Linguistics, s. 4810-4823 14 s.

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  • 2021

    BERT Busters: Outlier Dimensions That Disrupt Transformers

    Kovaleva, O., Kulshreshtha, S., Rogers, A. & Rumshisky, A., 1 aug. 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Online: Association for Computational Linguistics, s. 3392-3405 14 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Changing the World by Changing the Data

    Rogers, A., 1 aug. 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Online: Association for Computational Linguistics, s. 2182-2194 13 s.

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  • Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics

    Bhargava, P., Drozd, A. & Rogers, A., 1 nov. 2021, Proceedings of the Second Workshop on Insights from Negative Results in NLP. Online and Punta Cana, Dominican Republic: Association for Computational Linguistics, s. 125-135 11 s.

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  • Just What Do You Think You're Doing, Dave? A Checklist for Responsible Data Use in NLP

    Rogers, A., Baldwin, T. & Leins, K., 1 nov. 2021, Findings of the Association for Computational Linguistics: EMNLP 2021. Punta Cana, Dominican Republic: Association for Computational Linguistics, s. 4821-4833 13 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • On the Interaction of Belief Bias and Explanations

    González, A. V., Rogers, A. & Søgaard, A., 1 aug. 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Online: Association for Computational Linguistics, s. 2930-2942 13 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • 2020

    Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks

    Rogers, A., Kovaleva, O., Downey, M. & Rumshisky, A., 2020, Proceedings of the AAAI Conference on Artificial Intelligence. s. 11 1 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • What Can We Do to Improve Peer Review in NLP?

    Rogers, A. & Augenstein, I., 1 nov. 2020, Findings of EMNLP. Online: Association for Computational Linguistics, s. 1256-1262 7 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • When BERT Plays the Lottery, All Tickets Are Winning

    Prasanna, S., Rogers, A. & Rumshisky, A., 1 nov. 2020, Proceedings of EMNLP. Online: Association for Computational Linguistics, s. 3208-3229 22 s.

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  • 2019

    Adversarial Decomposition of Text Representation

    Romanov, A., Rumshisky, A., Rogers, A. & Donahue, D., 1 jun. 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). s. 815-825 11 s.

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  • Calls to Action on Social Media: Potential for Censorship and Social Impact

    Rogers, A., Kovaleva, O. & Rumshisky, A., 2019, EMNLP-IJCNLP 2019 Second Workshop on Natural Language Processing for Internet Freedom.

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  • Revealing the Dark Secrets of BERT

    Kovaleva, O., Romanov, A., Rogers, A. & Rumshisky, A., 2019, Proceedings of EMNLP-IJCNLP). Hong Kong, China: Association for Computational Linguistics, s. 4356-4365 10 s.

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  • 2018

    RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian

    Rogers, A., Romanov, A., Rumshisky, A., Volkova, S., Gronas, M. & Gribov, A., 2018, Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe, New Mexico, USA: Association for Computational Linguistics, s. 755-763 9 s.

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  • Subcharacter Information in Japanese Embeddings: When Is It Worth It?

    Karpinska, M., Li, B., Rogers, A. & Drozd, A., 2018, Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP. Melbourne, Australia: Association for Computational Linguistics, s. 28-37 10 s.

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  • What's in Your Embedding, And How It Predicts Task Performance

    Rogers, A., Hosur Ananthakrishna, S. & Rumshisky, A., 2018, Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe, New Mexico, USA, August 20-26, 2018: Association for Computational Linguistics, s. 2690-2703 14 s.

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  • 2017

    Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings

    Li, B., Liu, T., Zhao, Z., Tang, B., Drozd, A., Rogers, A. & Du, X., 2017, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Copenhagen, Denmark, September 71, 2017, s. 2411-2421 11 s.

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  • The (Too Many) Problems of Analogical Reasoning with Word Vectors

    Rogers, A., Drozd, A. & Li, B., 2017, Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (* SEM 2017). s. 135-148 14 s.

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  • 2016

    Analogy-Based Detection of Morphological and Semantic Relations with Word Embeddings: What Works and What Doesn't.

    Gladkova, A., Drozd, A. & Matsuoka, S., 2016, Proceedings of the NAACL Student Research Workshop. San Diego, California, June 12-17, 2016: Association for Computational Linguistics, s. 47-54 8 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Intrinsic Evaluations of Word Embeddings: What Can We Do Better?

    Gladkova, A. & Drozd, A., 2016, Proceedings of The 1st Workshop on Evaluating Vector Space Representations for NLP. Berlin, Germany, August 12, 2016: Association for Computational Linguistics, s. 36-42 7 s.

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  • The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations

    Santus, E., Gladkova, A., Evert, S. & Lenci, A., 2016, Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V). Osaka, Japan, December 11-17: Association for Computational Linguistics, s. 69-79 11 s.

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  • Word Embeddings, Analogies, and Machine Learning: Beyond King - Man + Woman = Queen

    Drozd, A., Gladkova, A. & Matsuoka, S., 2016, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. Osaka, Japan, December 11-17, s. 3519-3530 12 s.

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  • 2015

    Discovering Aspectual Classes of Russian Verbs in Untagged Large Corpora

    Drozd, A., Gladkova, A. & Matsuoka, S., 2015, Proceedings of 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS). s. 61-68 8 s.

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