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Anna Rogers
Anna Gladkova 0001
Person information
- affiliation: IT University of Copenhagen, Denmark
- affiliation (former): University of Copenhagen, Denmark
- affiliation (former): RIKEN, Japan
Other persons with the same name
- Anna Gladkova — disambiguation page
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2020 – today
- 2024
- [j3]Germans Savcisens
, Tina Eliassi-Rad
Using sequences of life-events to predict human lives. Nat. Comput. Sci. 4(1): 43-56 (2024) - [c29]Giovanni Puccetti, Anna Rogers, Chiara Alzetta, Felice Dell'Orletta, Andrea Esuli:
AI 'News' Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian. ACL (1) 2024: 15312-15338 - [c28]Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky:
NarrativeTime: Dense Temporal Annotation on a Timeline. LREC/COLING 2024: 12053-12073 - [c27]Anna Rogers, Sasha Luccioni:
Position: Key Claims in LLM Research Have a Long Tail of Footnotes. ICML 2024 - [i24]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:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - [i23]Giovanni Puccetti, Anna Rogers, Chiara Alzetta, Felice Dell'Orletta, Andrea Esuli:
AI "News" Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian. CoRR abs/2406.12128 (2024) - [i22]Iryna Gurevych, Anna Rogers, Nihar B. Shah, Jingyan Wang:
Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052). Dagstuhl Reports 14(1): 130-161 (2024) - 2023
- [j2]Anna Rogers
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. ACM Comput. Surv. 55(10): 197:1-197:45 (2023) - [c26]Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Sasha Luccioni, Yacine Jernite, Anna Rogers:
The ROOTS Search Tool: Data Transparency for LLMs. ACL (demo) 2023: 304-314 - [e8]Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-72-2 [contents] - [e7]Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023 [contents] - [e6]Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki:
Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-62-3 [contents] - [e5]Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita:
Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-77-7 [contents] - [i21]Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Alexandra Sasha Luccioni, Yacine Jernite, Anna Rogers:
The ROOTS Search Tool: Data Transparency for LLMs. CoRR abs/2302.14035 (2023) - [i20]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
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. CoRR abs/2303.03915 (2023) - [i19]Germans Savcisens
Using Sequences of Life-events to Predict Human Lives. CoRR abs/2306.03009 (2023) - [i18]Alexandra Sasha Luccioni, Anna Rogers:
Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice. CoRR abs/2308.07120 (2023) - 2022
- [c25]Sagnik Ray Choudhury
Machine Reading, Fast and Slow: When Do Models "Understand" Language? COLING 2022: 78-93 - [c24]Giovanni Puccetti, Anna Rogers, Aleksandr Drozd, Felice Dell'Orletta:
Outlier Dimensions that Disrupt Transformers are Driven by Frequency. EMNLP (Findings) 2022: 1286-1304 - [c23]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers
Data Governance in the Age of Large-Scale Data-Driven Language Technology. FAccT 2022: 2206-2222 - [c22]Terne Sasha Thorn Jakobsen
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review. NAACL-HLT 2022: 4810-4823 - [c21]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:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. NeurIPS 2022 - [e4]Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula:
Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-40-7 [contents] - [e3]Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 [contents] - [i17]Terne Sasha Thorn Jakobsen, Anna Rogers:
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review. CoRR abs/2205.01005 (2022) - [i16]Giovanni Puccetti
Outliers Dimensions that Disrupt Transformers Are Driven by Frequency. CoRR abs/2205.11380 (2022) - [i15]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
Data Governance in the Age of Large-Scale Data-Driven Language Technology. CoRR abs/2206.03216 (2022) - [i14]Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein:
Machine Reading, Fast and Slow: When Do Models "Understand" Language? CoRR abs/2209.07430 (2022) - [i13]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
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR abs/2211.05100 (2022) - 2021
- [c20]Anna Rogers:
Changing the World by Changing the Data. ACL/IJCNLP (1) 2021: 2182-2194 - [c19]Ana Valeria Gonzalez, Anna Rogers
On the Interaction of Belief Bias and Explanations. ACL/IJCNLP (Findings) 2021: 2930-2942 - [c18]Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers
BERT Busters: Outlier Dimensions that Disrupt Transformers. ACL/IJCNLP (Findings) 2021: 3392-3405 - [c17]Kevin Cohen, Karën Fort, Margot Mieskes, Aurélie Névéol, Anna Rogers:
Reviewing Natural Language Processing Research. EACL (Tutorial Abstracts) 2021: 14-16 - [c16]Anna Rogers, Timothy Baldwin, Kobi Leins:
'Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP. EMNLP (Findings) 2021: 4821-4833 - [e2]Anna Rogers, Iacer Calixto, Ivan Vulic, Naomi Saphra, Nora Kassner, Oana-Maria Camburu, Trapit Bansal, Vered Shwartz:
Proceedings of the 6th Workshop on Representation Learning for NLP, RepL4NLP@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-72-5 [contents] - [i12]Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky:
BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT. CoRR abs/2105.06990 (2021) - [i11]Anna Rogers:
Changing the World by Changing the Data. CoRR abs/2105.13947 (2021) - [i10]Ana Valeria Gonzalez, Anna Rogers, Anders Søgaard:
On the Interaction of Belief Bias and Explanations. CoRR abs/2106.15355 (2021) - [i9]Anna Rogers, Matt Gardner, Isabelle Augenstein:
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. CoRR abs/2107.12708 (2021) - [i8]Anna Rogers, Tim Baldwin, Kobi Leins:
Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP. CoRR abs/2109.06598 (2021) - [i7]Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers:
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics. CoRR abs/2110.01518 (2021) - 2020
- [j1]Anna Rogers, Olga Kovaleva, Anna Rumshisky:
A Primer in BERTology: What We Know About How BERT Works. Trans. Assoc. Comput. Linguistics 8: 842-866 (2020) - [c15]Anna Rogers, Olga Kovaleva, Matthew Downey, Anna Rumshisky:
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks. AAAI 2020: 8722-8731 - [c14]Anna Rogers, Anna Rumshisky:
A guide to the dataset explosion in QA, NLI, and commonsense reasoning. COLING (Tutorial) 2020: 27-32 - [c13]Anna Rogers, Isabelle Augenstein
What Can We Do to Improve Peer Review in NLP? EMNLP (Findings) 2020: 1256-1262 - [c12]Sai Prasanna, Anna Rogers, Anna Rumshisky:
When BERT Plays the Lottery, All Tickets Are Winning. EMNLP (1) 2020: 3208-3229 - [e1]Anna Rogers, João Sedoc, Anna Rumshisky:
Proceedings of the First Workshop on Insights from Negative Results in NLP, Insights 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-66-8 [contents] - [i6]Anna Rogers, Olga Kovaleva, Anna Rumshisky:
A Primer in BERTology: What we know about how BERT works. CoRR abs/2002.12327 (2020) - [i5]Sai Prasanna, Anna Rogers, Anna Rumshisky:
When BERT Plays the Lottery, All Tickets Are Winning. CoRR abs/2005.00561 (2020) - [i4]Anna Rogers, Isabelle Augenstein:
What Can We Do to Improve Peer Review in NLP? CoRR abs/2010.03863 (2020)
2010 – 2019
- 2019
- [c11]Olga Kovaleva, Alexey Romanov, Anna Rogers
Revealing the Dark Secrets of BERT. EMNLP/IJCNLP (1) 2019: 4364-4373 - [c10]Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue:
Adversarial Decomposition of Text Representation. NAACL-HLT (1) 2019: 815-825 - [i3]Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky:
Revealing the Dark Secrets of BERT. CoRR abs/1908.08593 (2019) - [i2]Anna Rogers, Gregory Smelkov, Anna Rumshisky:
NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline. CoRR abs/1908.11443 (2019) - 2018
- [c9]Anna Rogers, Alexey Romanov, Anna Rumshisky, Svitlana Volkova, Mikhail Gronas, Alex Gribov:
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. COLING 2018: 755-763 - [c8]Anna Rogers, Shashwath Hosur Ananthakrishna, Anna Rumshisky:
What's in Your Embedding, And How It Predicts Task Performance. COLING 2018: 2690-2703 - [i1]Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue:
Adversarial Decomposition of Text Representation. CoRR abs/1808.09042 (2018) - 2017
- [c7]Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du:
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. EMNLP 2017: 2421-2431 - [c6]Anna Rogers, Aleksandr Drozd, Bofang Li:
The (too Many) Problems of Analogical Reasoning with Word Vectors. *SEM 2017: 135-148 - 2016
- [c5]Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka:
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen. COLING 2016: 3519-3530 - [c4]Anna Gladkova
Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't. SRW@HLT-NAACL 2016: 8-15 - [c3]Anna Gladkova
Intrinsic Evaluations of Word Embeddings: What Can We Do Better? RepEval@ACL 2016: 36-42 - 2015
- [c2]Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka:
Discovering Aspectual Classes of Russian Verbs in Untagged Large Corpora. DSDIS 2015: 61-68 - [c1]Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka:
Python, performance, and natural language processing. PyHPC@SC 2015: 1:1-1:10
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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