Improving hypernymy detection with an integrated path-based and distributional method

Vered Shwartz; Yoav Goldberg; Ido Dagan

doi:10.18653/v1/p16-1226

Improving hypernymy detection with an integrated path-based and distributional method

Vered Shwartz, Yoav Goldberg, Ido Dagan

Department of Computer Science

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

152 Scopus citations

Abstract

Detecting hypernymy relations is a key task in NLP, which is addressed in the literature using two complementary approaches. Distributional methods, whose supervised variants are the current best performers, and path-based methods, which received less research attention. We suggest an improved path-based algorithm, in which the dependency paths are encoded using a recurrent neural network, that achieves results comparable to distributional methods. We then extend the approach to integrate both path-based and distributional signals, significantly improving upon the state-of-the-art on this task.

Original language	English
Title of host publication	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers
Publisher	Association for Computational Linguistics (ACL)
Pages	2389-2398
Number of pages	10
ISBN (Electronic)	9781510827585
DOIs	https://doi.org/10.18653/v1/p16-1226
State	Published - 2016
Event	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Berlin, Germany Duration: 7 Aug 2016 → 12 Aug 2016

Publication series

Name	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers
Volume	4

Conference

Conference	54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
Country/Territory	Germany
City	Berlin
Period	7/08/16 → 12/08/16

Bibliographical note

Publisher Copyright:
© 2016 Association for Computational Linguistics.

Access to Document

10.18653/v1/p16-1226

Cite this

Shwartz, V., Goldberg, Y., & Dagan, I. (2016). Improving hypernymy detection with an integrated path-based and distributional method. In 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers (pp. 2389-2398). (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; Vol. 4). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/p16-1226

Shwartz, Vered ; Goldberg, Yoav ; Dagan, Ido. / Improving hypernymy detection with an integrated path-based and distributional method. 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), 2016. pp. 2389-2398 (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers).

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abstract = "Detecting hypernymy relations is a key task in NLP, which is addressed in the literature using two complementary approaches. Distributional methods, whose supervised variants are the current best performers, and path-based methods, which received less research attention. We suggest an improved path-based algorithm, in which the dependency paths are encoded using a recurrent neural network, that achieves results comparable to distributional methods. We then extend the approach to integrate both path-based and distributional signals, significantly improving upon the state-of-the-art on this task.",

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Shwartz, V, Goldberg, Y & Dagan, I 2016, Improving hypernymy detection with an integrated path-based and distributional method. in 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, vol. 4, Association for Computational Linguistics (ACL), pp. 2389-2398, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, Berlin, Germany, 7/08/16. https://doi.org/10.18653/v1/p16-1226

Improving hypernymy detection with an integrated path-based and distributional method. / Shwartz, Vered; Goldberg, Yoav ; Dagan, Ido.
54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), 2016. p. 2389-2398 (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; Vol. 4).

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

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Shwartz V, Goldberg Y , Dagan I. Improving hypernymy detection with an integrated path-based and distributional method. In 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL). 2016. p. 2389-2398. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers). doi: 10.18653/v1/p16-1226

Improving hypernymy detection with an integrated path-based and distributional method

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