Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yi Chern Tan"'
Autor:
Marek Nalos, Andrew Simpson, Christina Whitehead, Kristy P. Robledo, Gunawan Gunawan, Yi Chern Tan, Anthony S. McLean, Martin Harazim, Kaiquan Tan, Benjamin Tang
Publikováno v:
Critical Care Medicine. 49:1493-1503
Objectives To examine the effect of premorbid β-blocker exposure on mortality and organ dysfunction in sepsis. Design Retrospective observational study. Setting ICUs in Australia, the Czech Republic, and the United States. Patients Total of 4,086 cr
Autor:
Xiangru Tang, Ankit Gupta, Rui Zhang, Nadia Irwanto, Nazneen Fatema Rajani, Amrit Rau, Abhinand Sivaprasad, Richard Socher, Chiachun Hsieh, Linyong Nan, Neha Verma, Aadit Vyas, Xi Victoria Lin, Yangxiaokang Liu, Yasin Tarabar, Jessica Pan, Dragomir R. Radev, Tao Yu, Faiaz Rahman, Caiming Xiong, Yi Chern Tan, Mutethia Mutuma, Pranav Krishna, Ahmad Zaidi
Publikováno v:
NAACL-HLT
We present DART, an open domain structured DAta Record to Text generation dataset with over 82k instances (DARTs). Data-to-Text annotations can be a costly process, especially when dealing with tables which are the major source of structured data and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41efc82e79bc1a0b3dad70d191185684
http://arxiv.org/abs/2007.02871
http://arxiv.org/abs/2007.02871
Autor:
Abhijit Gupta, Aadit Vyas, Nazneen Fatema Rajani, Richard Socher, Stephan Zheng, Rui Zhang, Caiming Xiong, Yi Chern Tan, Dragomir R. Radev, Jeremy Weiss
Publikováno v:
ACL
Neural networks lack the ability to reason about qualitative physics and so cannot generalize to scenarios and tasks unseen during training. We propose ESPRIT, a framework for commonsense reasoning about qualitative physics in natural language that g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a45c7ced28640c5b860df7816ddc3c1
Autor:
Emily Ji, Rui Zhang, Heyang Er, Michihiro Yasunaga, Bo Pang, Suyi Li, Dragomir R. Radev, Caiming Xiong, Irene Li, Yi Chern Tan, David Proctor, Richard Socher, Sungrok Shim, Vincent Zhang, Xi Victoria Lin, Shreya Dixit, Jonathan Kraft, Tao Chen, Tao Yu
Publikováno v:
ACL (1)
We present SParC, a dataset for cross-domainSemanticParsing inContext that consists of 4,298 coherent question sequences (12k+ individual questions annotated with SQL queries). It is obtained from controlled user interactions with 200 complex databas
Autor:
Tao Chen, Tao Yu, Vincent Zhang, Luyao Chen, Caiming Xiong, Walter S. Lasecki, Yi Chern Tan, He Yang Er, Zifan Li, Michihiro Yasunaga, Xi Victoria Lin, Shreya Dixit, Bo Pang, Rui Zhang, Eric Xue, Sungrok Shim, Tianze Shi, Richard Socher, Youxuan Jiang, Suyi Li, Zihan Li, Yuwen Zhang, Alexander R. Fabbri, Dragomir R. Radev
Publikováno v:
EMNLP/IJCNLP (1)
We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems. It consists of 30k+ turns plus 10k+ annotated SQL queries, obtained from a Wizard-of-Oz (WOZ) collection of 3k dialogues querying 200 compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b3c8c5c398204a692ee17c8331db625
Publikováno v:
BlackboxNLP@ACL
How and to what extent does BERT encode syntactically-sensitive hierarchical information or positionally-sensitive linear information? Recent work has shown that contextual representations like BERT perform well on tasks that require sensitivity to l
Autor:
Kaiquan Tan, Harazim, Martin, Simpson, Andrew, Yi Chern Tan, Gunawan Gunawan, Robledo, Kristy P., Whitehead, Christina, Benjamin Tang, Mclean, Anthony, Nalos, Marek, Tan, Kaiquan, Tan, Yi Chern, Gunawan, Gunawan, Tang, Benjamin
Publikováno v:
Critical Care Medicine; Sep2021, Vol. 49 Issue 9, p1493-1503, 11p