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pro vyhledávání: '"Vera Axelrod"'
A common approach for testing fairness issues in text-based classifiers is through the use of counterfactuals: does the classifier output change if a sensitive attribute in the input is changed? Existing counterfactual generation methods typically re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcd56812ff9daddad4a69797b824ed14
Autor:
Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson
We introduce XTREME-S, a new benchmark to evaluate universal cross-lingual speech representations in many languages. XTREME-S covers four task families: speech recognition, classification, speech-to-text translation and retrieval. Covering 102 langua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d5112276248b7b6fa2427d9ed857587
Publikováno v:
Transactions of the Association for Computational Linguistics. 6:605-617
Coreference resolution is an important task for natural language understanding, and the resolution of ambiguous pronouns a longstanding challenge. Nonetheless, existing corpora do not capture ambiguous pronouns in sufficient volume or diversity to ac
Autor:
Choenni, Rochelle1 (AUTHOR) r.m.v.k.choenni@uva.nl, Garrette, Dan2 (AUTHOR) dhgarrette@google.com, Shutova, Ekaterina1 (AUTHOR) e.shutova@uva.nl
Publikováno v:
Computational Linguistics. Sep2023, Vol. 49 Issue 3, p613-641. 29p.
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; May2024, Vol. 18 Issue 4, p1-26, 26p
Autor:
Axelrod, Robert, Forster, Larissa
Publikováno v:
In Research in Economics March 2017 71(1):8-19
Autor:
Axelrod, Robert, Iliev, Rumen
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 1/28/2014, Vol. 111 Issue 4, p1298-1303, 6p
Autor:
Robert Axelrod
A Passion for Cooperation is the exciting autobiography of Robert Axelrod, one of the most acclaimed and wide-ranging scientists of the last fifty years. After being recognized by President Kennedy for being a promising young scientist while in high
Digital transformation and demographic change are profoundly affecting the contexts in which the language industry operates, the resources it deploys and the roles and skillsets of those it employs. Driven by evolving digital resources and socio-ethi