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1 Ergebnisse
1
CoPrompt: A Contrast-prompt Tuning Method for Multiparty Di..:
, In:
Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval
,
Li, Yu
;
Jiang, Yuru
;
Chen, Jie
... - p. 153-160 , 2023
Link:
https://dl.acm.org/doi/10.1145/3639233.3639239
RT T1 <cTitle>Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval</cTitle>: T1 <Title>CoPrompt: A Contrast-prompt Tuning Method for Multiparty Dialogue Character Relationship Extraction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3639239&Exemplar=1&LAN=DE A1 Li, Yu A1 Jiang, Yuru A1 Chen, Jie A1 Wang, Liangguo A1 Tao, Yuyang A1 Zhang, Yangsen PB ACM YR 2023 K1 Multiparty Dialogue K1 Prompt-tuning K1 Relation Extraction K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems K1 Dependable and fault-tolerant systems and networks K1 Redundancy K1 Robotics K1 Networks K1 Network properties K1 Network reliability SP 153 OP 160 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3639233.3639239 DO https://dl.acm.org/doi/10.1145/3639233.3639239 SF ELIB - SuUB Bremen
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