A framework for Entailed Relation Recognition

Dan Roth, Mark Sammons, V. G.Vinod Vydiswaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We define the problem of recognizing entailed relations - given an open set of relations, find all occurrences of the relations of interest in a given document set - and pose it as a challenge to scalable information extraction and retrieval. Existing approaches to relation recognition do not address well problems with an open set of relations and a need for high recall: supervised methods are not easily scaled, while unsupervised and semi-supervised methods address a limited aspect of the problem, as they are restricted to frequent, explicit, highly localized patterns. We argue that textual entailment (TE) is necessary to solve such problems, propose a scalable TE architecture, and provide preliminary results on an Entailed Relation Recognition task.

Original languageEnglish (US)
Title of host publicationACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.
PublisherAssociation for Computational Linguistics (ACL)
Pages57-60
Number of pages4
ISBN (Print)9781617382581
DOIs
StatePublished - Jan 1 2009
EventJoint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 - Suntec, Singapore
Duration: Aug 2 2009Aug 7 2009

Publication series

NameACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.

Other

OtherJoint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009
CountrySingapore
CitySuntec
Period8/2/098/7/09

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

Fingerprint Dive into the research topics of 'A framework for Entailed Relation Recognition'. Together they form a unique fingerprint.

  • Cite this

    Roth, D., Sammons, M., & Vydiswaran, V. G. V. (2009). A framework for Entailed Relation Recognition. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 57-60). (ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667603