ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge

Xiaoqiang Zhou, Baotian Hu, Jiaxin Lin, Yang Xiang, Xiaolong Wang


Anthology ID:
S15-2037
Volume:
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Month:
June
Year:
2015
Address:
Denver, Colorado
Venue:
SemEval
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
210–214
Language:
URL:
https://aclanthology.org/S15-2037
DOI:
10.18653/v1/S15-2037
Bibkey:
Cite (ACL):
Xiaoqiang Zhou, Baotian Hu, Jiaxin Lin, Yang Xiang, and Xiaolong Wang. 2015. ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 210–214, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge (Zhou et al., SemEval 2015)
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PDF:
https://aclanthology.org/S15-2037.pdf