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Samuel Bowman
Assistant Professor
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I study artificial neural network models for natural language understanding, with a focus on building and evaluating reusable sentence encoders and on applications of artificial neural network models to scientific questions in syntax and semantics.
Papers78 papers
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Pruksachatkun Yada, Yeres Phil,Liu Haokun,Phang Jason,Htut Phu Mon,Wang Alex, Tenney Ian,Bowman Samuel R.
ACL, pp.109-117, (2020)
AACL/IJCNLP, pp.672-686, (2020)
empirical methods in natural language processing, pp.217-235, (2020)
Proceedings of the First Workshop on Insights from Negative Results in NLP, pp.82-87, (2020)
empirical methods in natural language processing, pp.8275-8280, (2020)
EMNLP 2020, (2020)
empirical methods in natural language processing, pp.1953-1967, (2020)
IWPT 2020, pp.105-110, (2020)
Phang Jason,Htut Phu Mon,Pruksachatkun Yada,Liu Haokun,Vania Clara, Kann Katharina, Calixto Iacer,Bowman Samuel R.
ACL, pp.5231-5247, (2020)
EMNLP 2020, (2020)
national conference on artificial intelligence, (2020)
Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng,Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia,Haokun Liu, Alicia Parrish, Sheng-Fu Wang,Jason Phang
EMNLP/IJCNLP (1), pp.2877-2887, (2019)
Cited by20EIBibtex
DeepLo@EMNLP-IJCNLP, pp.209-218, (2019)
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