A Compositional and Interpretable Semantic Space

Alona Fyshe, Leila Wehbe, Partha Talukdar, Brian Murphy, Tom Mitchell

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

22 Citations (Scopus)

Abstract

Vector Space Models (VSMs) of Semantics are useful tools for exploring the semantics of single words, and the composition of words to make phrasal meaning. While many methods can estimate the meaning (i.e. vector) of a phrase, few do so in an interpretable way. We introduce a new method (CNNSE) that allows word and phrase vectors to adapt to the notion of composition. Our method learns a VSM that is both tailored to support a chosen semantic composition operation, and whose resulting features have an intuitive interpretation. Interpretability allows for the exploration of phrasal semantics, which we leverage to analyze performance on a behavioral task.
Original languageEnglish
Title of host publicationProceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
PublisherThe Association for Computational Linguistics
Pages32-41
Number of pages10
ISBN (Print)978-1-941643-49-5
Publication statusPublished - Jun 2015
Event2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015) - Denver, United States
Duration: 31 May 201505 Jun 2015

Conference

Conference2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015)
CountryUnited States
CityDenver
Period31/05/201505/06/2015

Fingerprint Dive into the research topics of 'A Compositional and Interpretable Semantic Space'. Together they form a unique fingerprint.

  • Cite this

    Fyshe, A., Wehbe, L., Talukdar, P., Murphy, B., & Mitchell, T. (2015). A Compositional and Interpretable Semantic Space. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 32-41). The Association for Computational Linguistics. http://aclweb.org/anthology/N/N15/