Artigos com autorizações de acesso público - Noah A. SmithSaiba mais
Disponíveis em algum local: 47
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
Autorizações: US National Science Foundation, US Department of Defense, US Office of the …
The risk of racial bias in hate speech detection
M Sap, D Card, S Gabriel, Y Choi, NA Smith
ACL 2019, 1668-1678, 2019
Autorizações: US National Science Foundation
Creative writing with a machine in the loop: Case studies on slogans and stories
E Clark, AS Ross, C Tan, Y Ji, NA Smith
Proceedings of the 23rd International Conference on Intelligent User …, 2018
Autorizações: US National Science Foundation, US Department of Defense
How far can camels go? Exploring the state of instruction tuning on open resources
Y Wang, H Ivison, P Dasigi, J Hessel, T Khot, K Chandu, D Wadden, ...
Advances in Neural Information Processing Systems 36, 2024
Autorizações: US National Science Foundation, US Department of Defense
Many languages, one parser
W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith
TACL, 2016
Autorizações: European Commission
Sentence mover’s similarity: Automatic evaluation for multi-sentence texts
E Clark, A Celikyilmaz, NA Smith
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Autorizações: US National Science Foundation, US Department of Defense
Measuring ideological proportions in political speeches
Y Sim, BDL Acree, JH Gross, NA Smith
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
Autorizações: A*Star, Singapore
Neural text generation in stories using entity representations as context
E Clark, Y Ji, NA Smith
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Autorizações: US National Science Foundation, US Department of Defense
Crowdsourcing annotations for websites' privacy policies: Can it really work?
S Wilson, F Schaub, R Ramanath, N Sadeh, F Liu, NA Smith, F Liu
Proceedings of the 25th International Conference on World Wide Web, 133-143, 2016
Autorizações: US National Science Foundation
Fine-grained human feedback gives better rewards for language model training
Z Wu, Y Hu, W Shi, N Dziri, A Suhr, P Ammanabrolu, NA Smith, ...
Advances in Neural Information Processing Systems 36, 59008-59033, 2023
Autorizações: US National Science Foundation, US Department of Defense
Analyzing Framing through the Casts of Characters in the News
D Card, JH Gross, A Boydstun, NA Smith
Proceedings of the 2016 conference on empirical methods in natural language …, 2016
Autorizações: Natural Sciences and Engineering Research Council of Canada
AD3 alternating directions dual decomposition for MAP inference in graphical models
AFT Martins, MAT Figueiredo, PMQ Aguiar, NA Smith, EP Xing
The Journal of Machine Learning Research 16 (1), 495-545, 2015
Autorizações: Fundação para a Ciência e a Tecnologia, Portugal
Thinking like a skeptic: Defeasible inference in natural language
R Rudinger, V Shwartz, JD Hwang, C Bhagavatula, M Forbes, R Le Bras, ...
Findings of the Association for Computational Linguistics: EMNLP 2020, 4661-4675, 2020
Autorizações: US Department of Defense
Explaining relationships between scientific documents
K Luu, X Wu, R Koncel-Kedziorski, K Lo, I Cachola, NA Smith
arXiv preprint arXiv:2002.00317, 2020
Autorizações: US Department of Defense
The importance of calibration for estimating proportions from annotations
D Card, NA Smith
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Autorizações: US National Science Foundation
Deep weighted averaging classifiers
D Card, M Zhang, NA Smith
Proceedings of the conference on fairness, accountability, and transparency …, 2019
Autorizações: US National Science Foundation
Story cloze task: Uw nlp system
R Schwartz, M Sap, I Konstas, L Zilles, Y Choi, NA Smith
Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and …, 2017
Autorizações: US Department of Defense
Contextual word representations: putting words into computers
NA Smith
Communications of the ACM 63 (6), 66-74, 2020
Autorizações: US National Science Foundation
Infusing finetuning with semantic dependencies
Z Wu, H Peng, NA Smith
Transactions of the Association for Computational Linguistics 9, 226-242, 2021
Autorizações: US National Science Foundation
Sounding board–university of washington’s alexa prize submission
H Fang, H Cheng, E Clark, A Holtzman, M Sap, M Ostendorf, Y Choi, ...
Alexa prize proceedings, 2017
Autorizações: US National Science Foundation, US Department of Defense
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