Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mucheng Ren"'
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:2233-2244
Publikováno v:
Neural Computing and Applications. 34:9901-9918
Publikováno v:
Neurocomputing. 459:142-151
Knowledge has long been cosnsidered a crucial part of natural language understanding. Many knowledge bases have been constructed, but none of them will ever be complete. Nevertheless, we argue that complete knowledge already exists in natural languag
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031183140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::948bbd62f8a0dd888956035985913fb4
https://doi.org/10.1007/978-3-031-18315-7_16
https://doi.org/10.1007/978-3-031-18315-7_16
Publikováno v:
ACL/IJCNLP (Findings)
Qualitative relationships illustrate how changing one property (e.g., moving velocity) affects another (e.g., kinetic energy) and constitutes a considerable portion of textual knowledge. Current approaches use either semantic parsers to transform nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0de24c2bdb199b0c0316d79d85a95f1
http://arxiv.org/abs/2106.02399
http://arxiv.org/abs/2106.02399
Publikováno v:
EMNLP (1)
Scopus-Elsevier
Scopus-Elsevier
We focus on the task of reasoning over paragraph effects in situation, which requires a model to understand the cause and effect described in a background paragraph, and apply the knowledge to a novel situation. Existing works ignore the complicated
Publikováno v:
Natural Language Processing and Chinese Computing ISBN: 9783030322359
NLPCC (2)
NLPCC (2)
This study focuses on multi-passage Machine Reading Comprehension (MRC) task. Prior work has shown that retriever, reader pipeline model could improve overall performance. However, the pipeline model relies heavily on retriever component since inferi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dee9708e62c0596fc058a9fd8ed6da4
https://doi.org/10.1007/978-3-030-32236-6_67
https://doi.org/10.1007/978-3-030-32236-6_67