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1 Ergebnisse
1
V-SBERT: A Mixture Model for Closed-Domain Question-Answeri..:
, In:
2023 6th International Conference on Data Science and Information Technology (DSIT)
,
Zhuang, Yuan
;
Liu, Boyan
;
Lin, Xiaotao
. - p. 328-333 , 2023
Link:
https://doi.org/10.1109/DSIT60026.2023.00058
RT T1
2023 6th International Conference on Data Science and Information Technology (DSIT)
: T1
V-SBERT: A Mixture Model for Closed-Domain Question-Answering Systems Based on Natural Language Processing and Deep Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10423975&Exemplar=1&LAN=DE A1 Zhuang, Yuan A1 Liu, Boyan A1 Lin, Xiaotao A1 Xu, Canhao YR 2023 K1 Deep learning K1 Bidirectional control K1 Mixture models K1 Transformers K1 Encoding K1 Task analysis K1 Standards K1 Closed-domain QA K1 natural language processing K1 knowledge-based K1 SBERT K1 fine-tuning SP 328 OP 333 LK http://dx.doi.org/https://doi.org/10.1109/DSIT60026.2023.00058 DO https://doi.org/10.1109/DSIT60026.2023.00058 SF ELIB - SuUB Bremen
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