Joint relational embeddings for knowledge-based question answering

Min Chul Yang; Nan Duan; Ming Zhou; Hae Chang Rim

doi:10.3115/v1/d14-1071

Joint relational embeddings for knowledge-based question answering

Min Chul Yang, Nan Duan, Ming Zhou, Hae Chang Rim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

80 Citations (Scopus)

Abstract

Transforming a natural language (NL) question into a corresponding logical form (LF) is central to the knowledge-based question answering (KB-QA) task. Unlike most previous methods that achieve this goal based on mappings between lexicalized phrases and logical predicates, this paper goes one step further and proposes a novel embedding-based approach that maps NL-questions into LFs for KBQA by leveraging semantic associations between lexical representations and KBproperties in the latent space. Experimental results demonstrate that our proposed method outperforms three KB-QA baseline methods on two publicly released QA data sets.

Original language	English
Title of host publication	EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
Publisher	Association for Computational Linguistics (ACL)
Pages	645-650
Number of pages	6
ISBN (Electronic)	9781937284961
DOIs	https://doi.org/10.3115/v1/d14-1071
Publication status	Published - 2014
Event	2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 - Doha, Qatar Duration: 2014 Oct 25 → 2014 Oct 29

Publication series

Name	EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Other

Other	2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014
Country/Territory	Qatar
City	Doha
Period	14/10/25 → 14/10/29

Bibliographical note

Publisher Copyright:
© 2014 Association for Computational Linguistics.

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Vision and Pattern Recognition
Information Systems

Access to Document

10.3115/v1/d14-1071

Cite this

Yang, M. C., Duan, N., Zhou, M., & Rim, H. C. (2014). Joint relational embeddings for knowledge-based question answering. In EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 645-650). (EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/d14-1071

Joint relational embeddings for knowledge-based question answering. / Yang, Min Chul; Duan, Nan; Zhou, Ming et al.
EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2014. p. 645-650 (EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, MC, Duan, N, Zhou, M & Rim, HC 2014, Joint relational embeddings for knowledge-based question answering. in EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), pp. 645-650, 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, Doha, Qatar, 14/10/25. https://doi.org/10.3115/v1/d14-1071

Yang MC, Duan N, Zhou M, Rim HC. Joint relational embeddings for knowledge-based question answering. In EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2014. p. 645-650. (EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference). doi: 10.3115/v1/d14-1071

Yang, Min Chul ; Duan, Nan ; Zhou, Ming et al. / Joint relational embeddings for knowledge-based question answering. EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2014. pp. 645-650 (EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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Joint relational embeddings for knowledge-based question answering

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