Noah A. Smith 个人学术档案

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Chris DyerDeepMind, Carnegie Mellon在 google.com 的电子邮件经过验证
Yejin ChoiUniversity of Washington / Allen Institute for Artificial Intelligence在 cs.washington.edu 的电子邮件经过验证
Roy SchwartzSenior lecturer, the School of Computer Science, the Hebrew University of Jerusalem在 mail.huji.ac.il 的电子邮件经过验证
Brendan O'ConnorUniversity of Massachusetts Amherst在 cs.umass.edu 的电子邮件经过验证
Kevin GimpelQuillBot在 ttic.edu 的电子邮件经过验证
Swabha SwayamdiptaUniversity of Southern California在 usc.edu 的电子邮件经过验证
Nathan SchneiderAssociate Professor, Linguistics and Computer Science • Georgetown University在 georgetown.edu 的电子邮件经过验证
Maarten SapCarnegie Mellon University在 cmu.edu 的电子邮件经过验证
Jesse DodgeAllen Institute for AI在 allenai.org 的电子邮件经过验证
Suchin GururanganUniversity of Washington在 cs.washington.edu 的电子邮件经过验证
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
Bryan RoutledgeAssociate Professor of Finance, Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
Andre MartinsCarnegie Mellon University and Instituto Superior Tecnico在 cs.cmu.edu 的电子邮件经过验证
Dipanjan DasSenior Director of Research, Google Deepmind在 google.com 的电子邮件经过验证
Hannaneh HajishirziUniversity of Washington; Allen AI在 cs.washington.edu 的电子邮件经过验证
Dani YogatamaReka, USC在 reka.ai 的电子邮件经过验证
Dallas CardUniversity of Michigan在 umich.edu 的电子邮件经过验证
Luke ZettlemoyerUniversity of Washington; Meta在 cs.washington.edu 的电子邮件经过验证
Michael HeilmanCivis Analytics在 cs.cmu.edu 的电子邮件经过验证
David BammanUC Berkeley在 berkeley.edu 的电子邮件经过验证

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Noah A. Smith

University of Washington; Allen Institute for Artificial Intelligence

在 cs.washington.edu 的电子邮件经过验证 - 首页

natural language processing machine learning computational social science


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
From tweets to polls: Linking text sentiment to public opinion time series B O'Connor, R Balasubramanyan, BR Routledge, NA Smith ICWSM, 122-129, 2010	2830	2010
Don't stop pretraining: adapt language models to domains and tasks S Gururangan, A Marasović, S Swayamdipta, K Lo, I Beltagy, D Downey, ... ACL 2020, 2020	2073	2020
Green AI R Schwartz, J Dodge, NA Smith, O Etzioni arXiv preprint arXiv:1907.10597, 2019	1359	2019
Part-of-speech tagging for Twitter: Annotation, features, and experiments K Gimpel, N Schneider, B O'Connor, D Das, D Mills, J Eisenstein, ... Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011	1325	2011
Annotation artifacts in natural language inference data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... NAACL, 2018	1172	2018
A simple, fast, and effective reparameterization of IBM model 2 C Dyer, V Chahuneau, NA Smith NAACL 2013, 2013	1158	2013
Retrofitting word vectors to semantic lexicons M Faruqui, J Dodge, SK Jauhar, C Dyer, E Hovy, NA Smith NAACL, 2015	1137	2015
Self-instruct: Aligning language models with self-generated instructions Y Wang, Y Kordi, S Mishra, A Liu, NA Smith, D Khashabi, H Hajishirzi arXiv preprint arXiv:2212.10560, 2022	1116	2022
Transition-based dependency parsing with stack long short-term memory C Dyer, M Ballesteros, W Ling, A Matthews, NA Smith ACL 2015, 2015	1022	2015
Improved part-of-speech tagging for online conversational text with word clusters O Owoputi, B O'Connor, C Dyer, K Gimpel, N Schneider, NA Smith Human Language Technologies: Conference of the North American Chapter of the …, 2013	952	2013
A latent variable model for geographic lexical variation J Eisenstein, B O’Connor, NA Smith, E Xing Proceedings of the 2010 conference on empirical methods in natural language …, 2010	917	2010
Atomic: An atlas of machine commonsense for if-then reasoning M Sap, R Le Bras, E Allaway, C Bhagavatula, N Lourie, H Rashkin, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 3027-3035, 2019	903	2019
The risk of racial bias in hate speech detection M Sap, D Card, S Gabriel, Y Choi, NA Smith Proceedings of the 57th annual meeting of the association for computational …, 2019	878	2019
The web as a parallel corpus P Resnik, NA Smith Computational Linguistics 29 (3), 349-380, 2003	845	2003
Realtoxicityprompts: Evaluating neural toxic degeneration in language models S Gehman, S Gururangan, M Sap, Y Choi, NA Smith arXiv preprint arXiv:2009.11462, 2020	833	2020
Is Attention Interpretable? S Serrano, NA Smith Proceedings of the 57th Conference of the Association for Computational …, 2019	787	2019
Linguistic knowledge and transferability of contextual representations NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith NAACL 2019, 2019	773	2019
Knowledge enhanced contextual word representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... arXiv preprint arXiv:1909.04164, 2019	769	2019
Good question! statistical ranking for question generation M Heilman, NA Smith Human language technologies: The 2010 annual conference of the North …, 2010	566	2010
Fine-tuning pretrained language models: Weight initializations, data orders, and early stopping J Dodge, G Ilharco, R Schwartz, A Farhadi, H Hajishirzi, N Smith arXiv preprint arXiv:2002.06305, 2020	560	2020

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