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Global learning of focused entailment graphs

  • Tel Aviv University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

We propose a global algorithm for learning entailment relations between predicates. We define a graph structure over predicates that represents entailment relations as directed edges, and use a global transitivity constraint on the graph to learn the optimal set of edges, by formulating the optimization problem as an Integer Linear Program. We motivate this graph with an application that provides a hierarchical summary for a set of propositions that focus on a target concept, and show that our global algorithm improves performance by more than 10% over baseline algorithms.

Original languageEnglish
Title of host publicationACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Conference Proceedings
EditorsJan Hajic, Sandra Carberry, Stephen Clark
PublisherAssociation for Computational Linguistics (ACL)
Pages1220-1229
Number of pages10
ISBN (Electronic)1932432663, 9781932432664
StatePublished - 2010
Event48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 - Uppsala, Sweden
Duration: 11 Jul 201016 Jul 2010

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
Volume2010-July
ISSN (Print)0736-587X

Conference

Conference48th Annual Meeting of the Association for Computational Linguistics, ACL 2010
Country/TerritorySweden
CityUppsala
Period11/07/1016/07/10

Bibliographical note

Publisher Copyright:
© 2010 Association for Computational Linguistics.

Funding

We would like to thank Roy Bar-Haim, David Carmel and the anonymous reviewers for their useful comments. We also thank Dafna Berant and the nine students who prepared the gold standard data set. This work was developed under the collaboration of FBK-irst/University of Haifa and was partially supported by the Israel Science Foundation grant 1112/08. The first author is grateful to the Azrieli Foundation for the award of an Azrieli Fellowship, and has carried out this research in partial fulllment of the requirements for the Ph.D. degree.

FundersFunder number
Israel Science Foundation1112/08
Azrieli Foundation

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