Discovering Aspectual Classes of Russian Verbs in Untagged Large Corpora. - Aleksandr Drozd; Anna Gladkova 001; Satoshi Matsuoka (DSDIS, 2015)

Python, performance, and natural language processing. - Aleksandr Drozd; Anna Gladkova 001; Satoshi Matsuoka (PyHPC@SC, 2015)

Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen. - Aleksandr Drozd; Anna Gladkova 001; Satoshi Matsuoka (COLING, 2016)

Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't. - Anna Gladkova 001; Aleksandr Drozd; Satoshi Matsuoka (SRW@HLT-NAACL, 2016)

Intrinsic Evaluations of Word Embeddings: What Can We Do Better? - Anna Gladkova 001; Aleksandr Drozd (RepEval@ACL, 2016)

Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. - Bofang Li; Tao Liu 001; Zhe Zhao 006; Buzhou Tang; Aleksandr Drozd; Anna Rogers; Xiaoyong Du 001 (EMNLP, 2017)

The (too Many) Problems of Analogical Reasoning with Word Vectors. - Anna Rogers; Aleksandr Drozd; Bofang Li (*SEM, 2017)

What's in Your Embedding, And How It Predicts Task Performance. - Anna Rogers; Shashwath Hosur Ananthakrishna; Anna Rumshisky (COLING, 2018)

RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. - Anna Rogers; Alexey Romanov; Anna Rumshisky; Svitlana Volkova; Mikhail Gronas; Alex Gribov (COLING, 2018)

Revealing the Dark Secrets of BERT. - Olga Kovaleva; Alexey Romanov; Anna Rogers; Anna Rumshisky (EMNLP/IJCNLP (1), 2019)

Adversarial Decomposition of Text Representation. - Alexey Romanov; Anna Rumshisky; Anna Rogers; David Donahue (NAACL-HLT (1), 2019)

NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline. - Anna Rogers; Gregory Smelkov; Anna Rumshisky (CoRR, 2019)

Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks. - Anna Rogers; Olga Kovaleva; Matthew Downey; Anna Rumshisky (AAAI, 2020)

A guide to the dataset explosion in QA, NLI, and commonsense reasoning. - Anna Rogers; Anna Rumshisky (COLING (Tutorial), 2020)

When BERT Plays the Lottery, All Tickets Are Winning. - Sai Prasanna; Anna Rogers; Anna Rumshisky (EMNLP (1), 2020)

What Can We Do to Improve Peer Review in NLP? - Anna Rogers; Isabelle Augenstein (EMNLP (Findings), 2020)

A Primer in BERTology: What We Know About How BERT Works. - Anna Rogers; Olga Kovaleva; Anna Rumshisky (Trans. Assoc. Comput. Linguistics, 2020)

On the Interaction of Belief Bias and Explanations. - Ana Valeria Gonzalez; Anna Rogers; Anders Søgaard (ACL/IJCNLP (Findings), 2021)

BERT Busters: Outlier Dimensions that Disrupt Transformers. - Olga Kovaleva; Saurabh Kulshreshtha; Anna Rogers; Anna Rumshisky (ACL/IJCNLP (Findings), 2021)

Changing the World by Changing the Data. - Anna Rogers (ACL/IJCNLP (1), 2021)

Reviewing Natural Language Processing Research. - Kevin Cohen 001; Karën Fort; Margot Mieskes; Aurélie Névéol; Anna Rogers (EACL (Tutorial Abstracts), 2021)

'Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP. - Anna Rogers; Timothy Baldwin; Kobi Leins (EMNLP (Findings), 2021)

BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT. - Olga Kovaleva; Saurabh Kulshreshtha; Anna Rogers; Anna Rumshisky (CoRR, 2021)

Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics. - Prajjwal Bhargava; Aleksandr Drozd; Anna Rogers (CoRR, 2021)

Machine Reading, Fast and Slow: When Do Models "Understand" Language? - Sagnik Ray Choudhury; Anna Rogers; Isabelle Augenstein (COLING, 2022)

Outlier Dimensions that Disrupt Transformers are Driven by Frequency. - Giovanni Puccetti 002; Anna Rogers; Aleksandr Drozd; Felice Dell'Orletta (EMNLP (Findings), 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 001; Gérard Dupont; Jesse Dodge; et al. (FAccT, 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 (NAACL-HLT, 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; et al. (NeurIPS, 2022)

Outliers Dimensions that Disrupt Transformers Are Driven by Frequency. - Giovanni Puccetti 002; Anna Rogers; Aleksandr Drozd; Felice Dell'Orletta (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; et al. (CoRR, 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; et al. (CoRR, 2022)

The ROOTS Search Tool: Data Transparency for LLMs. - Aleksandra Piktus; Christopher Akiki; Paulo Villegas; Hugo Laurençon; Gérard Dupont; Sasha Luccioni; Yacine Jernite; Anna Rogers (ACL (demo), 2023)

Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice. - Alexandra Sasha Luccioni; Anna Rogers (CoRR, 2023)

QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. - Anna Rogers; Matt Gardner 001; Isabelle Augenstein (ACM Comput. Surv., 2023)

AI 'News' Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian. - Giovanni Puccetti 002; Anna Rogers; Chiara Alzetta; Felice Dell'Orletta; Andrea Esuli (ACL (1), 2024)

NarrativeTime: Dense Temporal Annotation on a Timeline. - Anna Rogers; Marzena Karpinska; Ankita Gupta; Vladislav Lialin; Gregory Smelkov; Anna Rumshisky (LREC/COLING, 2024)

Position: Key Claims in LLM Research Have a Long Tail of Footnotes. - Anna Rogers; Sasha Luccioni (ICML, 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; et al. (CoRR, 2024)

Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052). - Iryna Gurevych; Anna Rogers; Nihar B. Shah; Jingyan Wang 001 (Dagstuhl Reports, 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)