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Sheng Shen
Ph.D
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I study natural language processing, focusing on context-aware text generation. More broadly, my academic interest covers statistical machine learning, natural language understanding and generation. My advisor at Berkeley is Prof. Dan Klein. Prior to Berkeley, I worked with Prof. Xuanzhe Liu at Peking University.
Papers13 papers
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ICML, (2020): 8741-8751
ICML, pp.5958-5968, (2020)
international conference on machine learning, (2020)
national conference on artificial intelligence, (2020)
north american chapter of the association for computational linguistics, (2019)
arXiv: Computation and Language, (2019)
WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, pp.251-262, (2019)
Sheng Shen,Yaliang Li,Nan Du,Xian Wu,Yusheng Xie, Shen Ge, Tao Yang,Kai Wang, Xingzheng Liang,Wei Fan
arXiv: Artificial Intelligence, (2018)
arXiv: Information Retrieval, (2018)
Internetware, (2017): 1-10
arXiv: Human-Computer Interaction, (2017)
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