Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mutethia Mutuma"'
Autor:
Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryściński, Hailey Schoelkopf, Riley Kong, Xiangru Tang, Mutethia Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir Radev
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 10 (2024)
Externí odkaz:
https://doaj.org/article/e3579eb98c7745949430bb5458033351
Autor:
Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryściński, Hailey Schoelkopf, Riley Kong, Xiangru Tang, Mutethia Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir Radev
Publikováno v:
Transactions of the Association for Computational Linguistics. 10:35-49
Existing table question answering datasets contain abundant factual questions that primarily evaluate a QA system’s comprehension of query and tabular data. However, restricted by their short-form answers, these datasets fail to include question–
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