Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Weiguang Qu"'
Publikováno v:
Knowledge and Information Systems.
Event extraction is a fundamental task in information extraction. Most previous approaches typically transform event extraction into two subtasks: trigger classification and argument classification, and solve them via classification-based methods, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e492105ec527f52e27060c8bce5ca846
https://doi.org/10.1007/s10115-023-01898-3
https://doi.org/10.1007/s10115-023-01898-3
Autor:
Yeyang Zhou, Yixin Chen, Yimin Chen, Shunlong Ye, Mingxin Guo, Ziqi Sha, Heyu Wei, Yanhui Gu, Junsheng Zhou, Weiguang Qu
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031243394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::757247f39fff18eddb6d88e92ba32a79
https://doi.org/10.1007/978-3-031-24340-0_42
https://doi.org/10.1007/978-3-031-24340-0_42
Publikováno v:
Computers, Materials & Continua. 69:4113-4127
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d05f9b28a33093803e6e32db14a62e13
https://doi.org/10.32604/cmc.2021.019518
https://doi.org/10.32604/cmc.2021.019518
Publikováno v:
Intelligent Automation & Soft Computing. 29:161-173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::545357b386a5b1a51e2b78443970cb00
https://doi.org/10.32604/iasc.2021.017440
https://doi.org/10.32604/iasc.2021.017440
Publikováno v:
Multimedia Tools and Applications. 80:30827-30838
meaning representations (AMRs) represent sentence semantics as rooted labeled directed acyclic graphs. Though there is a strong correlation between the AMR graph of a sentence and its corresponding dependency tree, the recent neural network AMR parse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d3c9a91ae46049f0e55f518476c5230
https://doi.org/10.1007/s11042-020-09967-3
https://doi.org/10.1007/s11042-020-09967-3
Publikováno v:
World Wide Web. 23:2979-3000
Noun phrases reflect people’s understanding of the world entities and play an important role in people’s language system, conceptual system and application system. With the Chinese “的(de)” structure, attributive noun phrases of the combined
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::516e0923800fd335500d4a963dd8f5cf
https://doi.org/10.1007/s11280-020-00809-8
https://doi.org/10.1007/s11280-020-00809-8
Publikováno v:
Computers, Materials & Continua. 64:1897-1913
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c89c37c589a5654d7a43b561f72201e
https://doi.org/10.32604/cmc.2020.010813
https://doi.org/10.32604/cmc.2020.010813
Publikováno v:
Advances in Artificial Intelligence and Security ISBN: 9783031067662
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3179d6beb29451bd97515e0a113e0b42
https://doi.org/10.1007/978-3-031-06767-9_51
https://doi.org/10.1007/978-3-031-06767-9_51
Publikováno v:
International Journal of Asian Language Processing. 31
Metaphor is very common in natural language, which conveys deep meaning beyond the literal meaning. Metaphor computation is still a challenge in NLP tasks. In this paper, we introduce the conventional metaphor theories, and the computational models a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0979f35d0f2d34a77aae5a4c327bf93
https://doi.org/10.1142/s2717554522300018
https://doi.org/10.1142/s2717554522300018
Publikováno v:
Advances in Artificial Intelligence and Security ISBN: 9783030786144
In this paper, a survey is done to introduce the named entity recognition task in Chinese medical text and its practical significance. First, the existing datasets for the named entity recognition task of Chinese medical text are presented, then the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b1c2d4116d2b6004e92a754bf4796df
https://doi.org/10.1007/978-3-030-78615-1_4
https://doi.org/10.1007/978-3-030-78615-1_4