Noah A. Smith

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Chris DyerDeepMind, Carnegie MellonVerifierad e-postadress på google.com
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerifierad e-postadress på cs.washington.edu
Roy SchwartzSenior lecturer, the School of Computer Science, the Hebrew University of JerusalemVerifierad e-postadress på mail.huji.ac.il
Hannaneh HajishirziUniversity of Washington; Allen AIVerifierad e-postadress på cs.washington.edu
Brendan O'ConnorUniversity of Massachusetts AmherstVerifierad e-postadress på cs.umass.edu
Kevin GimpelQuillBotVerifierad e-postadress på ttic.edu
Swabha SwayamdiptaUniversity of Southern CaliforniaVerifierad e-postadress på usc.edu
Maarten SapCarnegie Mellon UniversityVerifierad e-postadress på cmu.edu
Jesse DodgeAllen Institute for AIVerifierad e-postadress på allenai.org
Nathan SchneiderAssociate Professor, Linguistics and Computer Science • Georgetown UniversityVerifierad e-postadress på georgetown.edu
Suchin GururanganUniversity of WashingtonVerifierad e-postadress på cs.washington.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerifierad e-postadress på cs.cmu.edu
Bryan RoutledgeAssociate Professor of Finance, Carnegie Mellon UniversityVerifierad e-postadress på cmu.edu
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoVerifierad e-postadress på cs.cmu.edu
Dipanjan DasSenior Director of Research, Google DeepmindVerifierad e-postadress på google.com
Luke ZettlemoyerUniversity of Washington; MetaVerifierad e-postadress på cs.washington.edu
Dani YogatamaReka, USCVerifierad e-postadress på reka.ai
Dallas CardUniversity of MichiganVerifierad e-postadress på umich.edu
Michael HeilmanCivis AnalyticsVerifierad e-postadress på cs.cmu.edu
David BammanUC BerkeleyVerifierad e-postadress på berkeley.edu

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Noah A. Smith

University of Washington; Allen Institute for Artificial Intelligence

Verifierad e-postadress på cs.washington.edu - Startsida

natural language processing machine learning computational social science computer music


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	2891	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	2398	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	1633	2023
Green AI R Schwartz, J Dodge, NA Smith, O Etzioni Communications of the Association for Computing Machinery, 2020	1615	2020
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	1347	2011
Annotation artifacts in natural language inference data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... NAACL 2018, 2018	1262	2018
A simple, fast, and effective reparameterization of IBM model 2 C Dyer, V Chahuneau, NA Smith NAACL 2013, 2013	1199	2013
Retrofitting word vectors to semantic lexicons M Faruqui, J Dodge, SK Jauhar, C Dyer, E Hovy, NA Smith NAACL 2015, 2015	1175	2015
RealToxicityPrompts: Evaluating neural toxic degeneration in language models S Gehman, S Gururangan, M Sap, Y Choi, NA Smith EMNLP 2020, 2020	1061	2020
Transition-based dependency parsing with stack long short-term memory C Dyer, M Ballesteros, W Ling, A Matthews, NA Smith ACL 2015, 2015	1043	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	1011	2019
The risk of racial bias in hate speech detection M Sap, D Card, S Gabriel, Y Choi, NA Smith ACL 2019, 1668-1678, 2019	985	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	963	2013
A latent variable model for geographic lexical variation J Eisenstein, B O’Connor, NA Smith, E Xing EMNLP 2010, 1277-1287, 2010	934	2010
Is Attention Interpretable? S Serrano, NA Smith ACL 2019, 2019	888	2019
The web as a parallel corpus P Resnik, NA Smith Computational Linguistics 29 (3), 349-380, 2003	848	2003
Knowledge enhanced contextual word representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... EMNLP 2019, 2019	842	2019
Linguistic knowledge and transferability of contextual representations NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith NAACL 2019, 2019	830	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	623	2020
Super-naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Arunkumar, ... EMNLP 2022, 2022	605*	2022

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