Understanding relation temporality of entities

Taesung Lee; Seung Won Hwang

doi:10.3115/v1/p14-2137

Understanding relation temporality of entities

Taesung Lee, Seung Won Hwang

Department of Computer Science

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

Abstract

This paper demonstrates the importance of relation equivalence for entity translation pair discovery. Existing approach of understanding relation equivalence has focused on using explicit features of cooccurring entities. In this paper, we explore latent features of temporality for understanding relation equivalence, and empirically show that the explicit and latent features complement each other. Our proposed hybrid approach of using both explicit and latent features improves relation translation by 0.16 F1-score, and in turn improves entity translation by 0.02.

Original language	English
Title of host publication	Long Papers
Publisher	Association for Computational Linguistics (ACL)
Pages	848-853
Number of pages	6
ISBN (Print)	9781937284732
DOIs	https://doi.org/10.3115/v1/p14-2137
Publication status	Published - 2014
Event	52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States Duration: 2014 Jun 22 → 2014 Jun 27

Publication series

Name	52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference
Volume	2

Other

Other	52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
Country	United States
City	Baltimore, MD
Period	14/6/22 → 14/6/27

All Science Journal Classification (ASJC) codes

Language and Linguistics
Linguistics and Language

Access to Document

10.3115/v1/p14-2137

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title = "Understanding relation temporality of entities",

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Lee, T & Hwang, SW 2014, Understanding relation temporality of entities. in Long Papers. 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference, vol. 2, Association for Computational Linguistics (ACL), pp. 848-853, 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, Baltimore, MD, United States, 14/6/22. https://doi.org/10.3115/v1/p14-2137

Understanding relation temporality of entities. / Lee, Taesung; Hwang, Seung Won.

Long Papers. Association for Computational Linguistics (ACL), 2014. p. 848-853 (52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference; Vol. 2).

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

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