Anna Rogers

According to our database, Anna Rogers authored at least 41 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using sequences of life-events to predict human lives.

Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann

Nat. Comput. Sci., 2024

Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052).

Iryna Gurevych, Anna Rogers, Nihar B. Shah, Jingyan Wang

Dagstuhl Reports, 2024

What Can Natural Language Processing Do for Peer Review?

Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych

CoRR, 2024

Position: Key Claims in LLM Research Have a Long Tail of Footnotes.

Anna Rogers, Sasha Luccioni

Proceedings of the Forty-first International Conference on Machine Learning, 2024

NarrativeTime: Dense Temporal Annotation on a Timeline.

Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

AI 'News' Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian.

Giovanni Puccetti, Anna Rogers, Chiara Alzetta, Felice Dell'Orletta, Andrea Esuli

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension.

Anna Rogers, Matt Gardner, Isabelle Augenstein

ACM Comput. Surv., 2023

Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice.

Alexandra Sasha Luccioni, Anna Rogers

CoRR, 2023

The ROOTS Search Tool: Data Transparency for LLMs.

Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Sasha Luccioni, Yacine Jernite, Anna Rogers

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.

CoRR, 2022

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

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell

CoRR, 2022

Outliers Dimensions that Disrupt Transformers Are Driven by Frequency.

Giovanni Puccetti, Anna Rogers, Aleksandr Drozd, Felice Dell'Orletta

CoRR, 2022

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

Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Terne Sasha Thorn Jakobsen, Anna Rogers

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Outlier Dimensions that Disrupt Transformers are Driven by Frequency.

Giovanni Puccetti, Anna Rogers, Aleksandr Drozd, Felice Dell'Orletta

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

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

Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers

CoRR, 2021

BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT.

Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky

CoRR, 2021

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

Anna Rogers, Timothy Baldwin, Kobi Leins

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Reviewing Natural Language Processing Research.

Kevin Cohen, Karën Fort, Margot Mieskes, Aurélie Névéol, Anna Rogers

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, 2021

Changing the World by Changing the Data.

Anna Rogers

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

BERT Busters: Outlier Dimensions that Disrupt Transformers.

Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On the Interaction of Belief Bias and Explanations.

Ana Valeria Gonzalez, Anna Rogers, Anders Søgaard

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

A Primer in BERTology: What We Know About How BERT Works.

Anna Rogers, Olga Kovaleva, Anna Rumshisky

Trans. Assoc. Comput. Linguistics, 2020

What Can We Do to Improve Peer Review in NLP?

Anna Rogers, Isabelle Augenstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

When BERT Plays the Lottery, All Tickets Are Winning.

Sai Prasanna, Anna Rogers, Anna Rumshisky

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A guide to the dataset explosion in QA, NLI, and commonsense reasoning.

Anna Rogers, Anna Rumshisky

Proceedings of the 28th International Conference on Computational Linguistics, 2020

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

Anna Rogers, Olga Kovaleva, Matthew Downey, Anna Rumshisky

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline.

Anna Rogers, Gregory Smelkov, Anna Rumshisky

CoRR, 2019

Adversarial Decomposition of Text Representation.

Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Revealing the Dark Secrets of BERT.

Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

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

Anna Rogers, Alexey Romanov, Anna Rumshisky, Svitlana Volkova, Mikhail Gronas, Alex Gribov

Proceedings of the 27th International Conference on Computational Linguistics, 2018

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

Anna Rogers, Shashwath Hosur Ananthakrishna, Anna Rumshisky

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

The (too Many) Problems of Analogical Reasoning with Word Vectors.

Anna Rogers, Aleksandr Drozd, Bofang Li

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

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

Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

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

Anna Gladkova, Aleksandr Drozd

Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.

Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka

Proceedings of the Student Research Workshop, 2016

Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen.

Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka

Proceedings of the COLING 2016, 2016

2015

Python, performance, and natural language processing.

Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka

Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing, 2015

Discovering Aspectual Classes of Russian Verbs in Untagged Large Corpora.

Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka

Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015