Zobrazeno 1 - 7
of 7
pro vyhledávání: '"CHANGSEN YUAN"'
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:2233-2244
Publikováno v:
ACM Transactions on Information Systems. Jan2024, Vol. 42 Issue 1, p1-24. 24p.
Publikováno v:
Neural Computing and Applications. 34:16739-16751
Publikováno v:
Information Sciences. 568:163-174
Document-level relation extraction is a complex natural language processing task that predicts relations of entity pairs by capturing the critical semantic features on entity pairs from the document. However, current methods usually consider that the
Publikováno v:
Natural Language Processing and Chinese Computing ISBN: 9783030884826
NLPCC (2)
NLPCC (2)
This paper describes the system proposed by the BIT-Event team for NLPCC 2021 shared task on Subevent Identification. The task includes two settings, and these settings face less reliable labeled data and the dilemma about selecting the most valid da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d08a797df95ab4c9613be905b8f29b1
https://doi.org/10.1007/978-3-030-88483-3_32
https://doi.org/10.1007/978-3-030-88483-3_32
Publikováno v:
AAAI
Distant supervision for relation extraction is an efficient method to reduce labor costs and has been widely used to seek novel relational facts in large corpora, which can be identified as a multi-instance multi-label problem. However, existing dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd4efe518a12579cdb8252526f392d7e
Autor:
Guangming Lu, Rui Lin, Feng Liu, Bingze Li, Gang Hu, Ying-Yu Yang, Changsen Yuan, Jiamei Wang
Publikováno v:
Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016).