Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Xi Victoria Lin"'
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–
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8330995f88dc55b882dc5c1fb0f32a61
https://doi.org/10.1162/tacl_a_00446
https://doi.org/10.1162/tacl_a_00446
Publikováno v:
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd0bd0896385a74aa86ab240f656fbe6
https://doi.org/10.18653/v1/2021.eval4nlp-1.8
https://doi.org/10.18653/v1/2021.eval4nlp-1.8
Publikováno v:
NAACL-HLT
Synthesizing data for semantic parsing has gained increasing attention recently. However, most methods require handcrafted (high-precision) rules in their generative process, hindering the exploration of diverse unseen data. In this work, we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a79d4a7abb41971f4c8d55e1f65e4d50
Publikováno v:
ACL (student)
Graph-to-text generation has benefited from pre-trained language models (PLMs) in achieving better performance than structured graph encoders. However, they fail to fully utilize the structure information of the input graph. In this paper, we aim to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a323b794a2d4eac936e388b0f24e025
https://doi.org/10.18653/v1/2021.acl-srw.2
https://doi.org/10.18653/v1/2021.acl-srw.2
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:
Caiming Xiong, Bryan McCann, Tianlu Wang, Nazneen Fatema Rajani, Xi Victoria Lin, Vicente Ordonez
Publikováno v:
ACL
Word embeddings derived from human-generated corpora inherit strong gender bias which can be further amplified by downstream models. Some commonly adopted debiasing approaches, including the seminal Hard Debias algorithm, apply post-processing proced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f57d7237febb9d9f2a5489b42daf2be
https://doi.org/10.18653/v1/2020.acl-main.484
https://doi.org/10.18653/v1/2020.acl-main.484
Publikováno v:
EMNLP (Findings)
We present BRIDGE, a powerful sequential architecture for modeling dependencies between natural language questions and relational databases in cross-DB semantic parsing. BRIDGE represents the question and DB schema in a tagged sequence where a subset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16e6af5faf2a93789937f4ec60b163d7
https://doi.org/10.18653/v1/2020.findings-emnlp.438
https://doi.org/10.18653/v1/2020.findings-emnlp.438
Publikováno v:
Proceedings of the First Workshop on Interactive and Executable Semantic Parsing.
Translating natural language utterances to executable queries is a helpful technique in making the vast amount of data stored in relational databases accessible to a wider range of non-tech-savvy end users. Prior work in this area has largely focused
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::373c461b975d526154948d8a9ddb414c
https://doi.org/10.18653/v1/2020.intexsempar-1.5
https://doi.org/10.18653/v1/2020.intexsempar-1.5
Autor:
Richard Socher, Steven C. H. Hoi, Xi Victoria Lin, Irwin King, Jichuan Zeng, Caiming Xiong, Michael R. Lyu
Publikováno v:
ACL (demo)
Natural language interfaces to databases (NLIDB) democratize end user access to relational data. Due to fundamental differences between natural language communication and programming, it is common for end users to issue questions that are ambiguous t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::001f3decc748ce703dde333be3dcd354