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Scott Wen-tau Yih
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My general research interests include natural language processing, machine learning and information retrieval. I’ve worked on a variety of problems over the years, including information extraction, semantic role labeling, email spam filtering, keyword extraction and search & ad relevance. My recent work focuses on continuous representations and neural network models, with applications in knowledge base embedding, semantic parsing and question answering.
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Chandra Bhagavatula,Ronan Le Bras, Chaitanya Malaviya,Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin,Doug Downey,Wen-tau Yih,Yejin Choi
ICLR, (2020)
Barlas Oguz, Xilun Chen,Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad,Scott Yih
Vladimir Karpukhin,Barlas Oguz,Sewon Min,Patrick Lewis, Ledell Wu, Sergey Edunov,Danqi Chen,Wen-tau Yih
empirical methods in natural language processing, pp.6769-6781, (2020)
empirical methods in natural language processing, pp.6433-6441, (2020)
Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER), pp.36-41, (2020)
ACL, pp.8413-8426, (2020)
empirical methods in natural language processing, pp.6883-6902, (2020)
empirical methods in natural language processing, pp.8864-8880, (2020)
Jean Maillard,Vladimir Karpukhin,Fabio Petroni,Wen-tau Yih,Barlas Oğuz, Veselin Stoyanov, Gargi Ghosh
national conference on artificial intelligence, (2019)
EMNLP/IJCNLP (1), pp.5446-5457, (2019)
EMNLP/IJCNLP (1), pp.4495-4504, (2019)
EIBibtex
international joint conference on natural language processing, (2019)
Bibtex
north american chapter of the association for computational linguistics, (2019)
EMNLP, pp.2555-2565, (2019)
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