Temporality-enhanced knowledgememory network for factoid question answering

Author:

Duan Xin-yuORCID,Tang Si-liang,Zhang Sheng-yu,Zhang Yin,Zhao Zhou,Xue Jian-ru,Zhuang Yue-ting,Wu Fei

Funder

National Natural Science Foundation of China

the National Basic Research Program (973) of China

the Key Program of Zhejiang Province, China

the Chinese Knowledge Center for Engineering Sciences and Technology, and the Fundamental Research Funds for the Central Universities, China

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Reference52 articles.

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2. Bao JW, Duan N, Zhou M, et al., 2014. Knowledge-based question answering as machine translation. 52nd Annual Meeting of the Association for Computational Linguistics, p.967–976. https://doi.org/10.3115/v1/p4-1091

3. Barrón-Cedeño A, Filice S, Martino GDS, et al., 2015. Thread-level information for comment classification in community question answering. 53rd Annual Meeting of the Association for Computational Linguistics, p.687–693. https://doi.org/10.3115/v1/p5-2113

4. Bilotti MW, Elsas JL, Carbonell JG, et al., 2010. Rank learning for factoid question answering with linguistic and semantic constraints. 19th ACM Conf on Information and Knowledge Management, p.459–468. https://doi.org/10.1145/1871437.1871498

5. Boyd-Graber JL, Satinoff B, He H, et al., 2012. Besting the quiz master: crowdsourcing incremental classification games. Joint Conf on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, p.1290–1301.

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