Multi-level alignments as an extensible representation basis for textual entailment algorithms

Tae Gil Noh, Sebastian Pado, Vered Shwartz, Ido Dagan, Vivi Nastase, Kathrin Eichler, Lili Kotlerman, Meni Adler

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

Abstract

A major problem in research on Textual Entailment (TE) is the high implementation effort for TE systems. Recently, interoperable standards for annotation and preprocessing have been proposed. In contrast, the algorithmic level remains unstandardized, which makes component re-use in this area very difficult in practice. In this paper, we introduce multi-level alignments as a central, powerful representation for TE algorithms that encourages modular, reusable, multilingual algorithm development. We demonstrate that a pilot open-source implementation of multi-level alignment with minimal features competes with state-of-theart open-source TE engines in three languages.

Original languageAmerican English
Title of host publicationProceedings of the 4th Joint Conference on Lexical and Computational Semantics, *SEM 2015
PublisherAssociation for Computational Linguistics (ACL)
Pages193-198
Number of pages6
ISBN (Electronic)9781941643396
DOIs
StatePublished - 1 Jan 2015
Event4th Joint Conference on Lexical and Computational Semantics, *SEM 2015 - Denver, United States
Duration: 4 Jun 20155 Jun 2015

Publication series

NameProceedings of the 4th Joint Conference on Lexical and Computational Semantics, *SEM 2015

Conference

Conference4th Joint Conference on Lexical and Computational Semantics, *SEM 2015
Country/TerritoryUnited States
CityDenver
Period4/06/155/06/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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