Noah A. Smith

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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
Hannaneh HajishirziUniversity of Washington; Allen AI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
Luke ZettlemoyerUniversity of Washington; Meta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
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 computer music


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 2010, 122-129, 2010	2865	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	2264	2020
Green AI R Schwartz, J Dodge, NA Smith, O Etzioni Communications of the Association for Computing Machinery, 2020	1517	2020
Self-instruct: Aligning language models with self-generated instructions Y Wang, Y Kordi, S Mishra, A Liu, NA Smith, D Khashabi, H Hajishirzi ACL 2023, 2023	1376	2023
Part-of-speech tagging for Twitter: Annotation, features, and experiments K Gimpel, N Schneider, B O'Connor, D Das, D Mills, J Eisenstein, ... ACL 2011, 42-47, 2011	1339	2011
Annotation artifacts in natural language inference data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... NAACL 2018, 2018	1229	2018
A simple, fast, and effective reparameterization of IBM model 2 C Dyer, V Chahuneau, NA Smith NAACL 2013, 2013	1183	2013
Retrofitting word vectors to semantic lexicons M Faruqui, J Dodge, SK Jauhar, C Dyer, E Hovy, NA Smith NAACL 2015, 2015	1159	2015
Transition-based dependency parsing with stack long short-term memory C Dyer, M Ballesteros, W Ling, A Matthews, NA Smith ACL 2015, 2015	1035	2015
Atomic: An atlas of machine commonsense for if-then reasoning M Sap, R Le Bras, E Allaway, C Bhagavatula, N Lourie, H Rashkin, ... AAAI 2019, 3027-3035, 2019	965	2019
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 NAACL 2013, 380-390, 2013	959	2013
RealToxicityPrompts: Evaluating neural toxic degeneration in language models S Gehman, S Gururangan, M Sap, Y Choi, NA Smith EMNLP 2020, 2020	952	2020
The risk of racial bias in hate speech detection M Sap, D Card, S Gabriel, Y Choi, NA Smith ACL 2019, 1668-1678, 2019	940	2019
A latent variable model for geographic lexical variation J Eisenstein, B O’Connor, NA Smith, E Xing EMNLP 2010, 1277-1287, 2010	928	2010
Is Attention Interpretable? S Serrano, NA Smith ACL 2019, 2019	853	2019
The web as a parallel corpus P Resnik, NA Smith Computational Linguistics 29 (3), 349-380, 2003	849	2003
Knowledge enhanced contextual word representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... EMNLP 2019, 2019	816	2019
Linguistic knowledge and transferability of contextual representations NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith NAACL 2019, 2019	805	2019
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	593	2020
Good question! statistical ranking for question generation M Heilman, NA Smith NAACL 2010, 609-617, 2010	582	2010

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