Noah A. Smith

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Chris DyerDeepMind, Carnegie MellonPatvirtintas el. paštas google.com
Yejin ChoiStanford University / NVIDIAPatvirtintas el. paštas stanford.edu
Roy SchwartzAssociate Professor, the School of Computer Science, the Hebrew University of JerusalemPatvirtintas el. paštas mail.huji.ac.il
Hannaneh HajishirziUniversity of Washington; Allen AIPatvirtintas el. paštas cs.washington.edu
Brendan T. O'ConnorUniversity of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
Swabha SwayamdiptaUniversity of Southern CaliforniaPatvirtintas el. paštas usc.edu
Kevin GimpelQuillBotPatvirtintas el. paštas ttic.edu
Maarten SapCarnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Jesse DodgeAllen Institute for AIPatvirtintas el. paštas allenai.org
Nathan SchneiderAssociate Professor, Linguistics and Computer Science • Georgetown UniversityPatvirtintas el. paštas georgetown.edu
Suchin GururanganUniversity of WashingtonPatvirtintas el. paštas cs.washington.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPatvirtintas el. paštas cs.cmu.edu
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoPatvirtintas el. paštas cs.cmu.edu
Bryan RoutledgeAssociate Professor of Finance, Carnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Luke ZettlemoyerUniversity of Washington; MetaPatvirtintas el. paštas cs.washington.edu
Dipanjan DasSenior Director of Research, Google DeepmindPatvirtintas el. paštas google.com
Dallas CardUniversity of MichiganPatvirtintas el. paštas umich.edu
Dani YogatamaReka, USCPatvirtintas el. paštas reka.ai
Mari OstendorfProfessor, Electrical Engineering, University of WashingtonPatvirtintas el. paštas uw.edu
Michael HeilmanCivis AnalyticsPatvirtintas el. paštas cs.cmu.edu

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Noah A. Smith

University of Washington; Allen Institute for Artificial Intelligence

Patvirtintas el. paštas cs.washington.edu - Pagrindinis puslapis

natural language processing machine learning computational social science computer music


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	2880	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	2542	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	1920	2023
Green AI R Schwartz, J Dodge, NA Smith, O Etzioni Communications of the Association for Computing Machinery, 2020	1716	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	1345	2011
Annotation artifacts in natural language inference data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... NAACL 2018, 2018	1291	2018
A simple, fast, and effective reparameterization of IBM model 2 C Dyer, V Chahuneau, NA Smith NAACL 2013, 2013	1207	2013
Retrofitting word vectors to semantic lexicons M Faruqui, J Dodge, SK Jauhar, C Dyer, E Hovy, NA Smith NAACL 2015, 2015	1186	2015
RealToxicityPrompts: Evaluating neural toxic degeneration in language models S Gehman, S Gururangan, M Sap, Y Choi, NA Smith EMNLP 2020, 2020	1165	2020
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	1066	2019
Transition-based dependency parsing with stack long short-term memory C Dyer, M Ballesteros, W Ling, A Matthews, NA Smith ACL 2015, 2015	1049	2015
The risk of racial bias in hate speech detection M Sap, D Card, S Gabriel, Y Choi, NA Smith ACL 2019, 1668-1678, 2019	1036	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	957	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	927	2019
Knowledge enhanced contextual word representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... EMNLP 2019, 2019	861	2019
Linguistic knowledge and transferability of contextual representations NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith NAACL 2019, 2019	854	2019
The web as a parallel corpus P Resnik, NA Smith Computational Linguistics 29 (3), 349-380, 2003	844	2003
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	683	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	666*	2022

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