Using lexical, syntactic and semantic features for non-terminal grammar rule induction in spoken dialogue systems

Georgia Athanasopoulou, Ioannis Klasinas, Spiros Georgiladakis, Elias Iosif, Alexandros Potamianos

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

Abstract

In this work, we propose an algorithm for the automatic induction of non-terminal grammar rules for Spoken Dialogue Systems (SDS). Initially, a grammar developer provides the system with a minimal set of rules that serve as seeding examples. Using these seed rules and (optionally) a seed corpus, in-domain data are harvested and filtered from the web. A challenging task is identifying relevant chunks (phrases) in the web-harvested corpus that are good candidates for enhancing the seed grammar. We propose and evaluate rule-based and statistical classification algorithms for this purpose that use lexical, syntactic and semantic features. Induced grammars are evaluated in terms of accuracy of the proposed rules for two spoken dialogue domains. Results show up to four times absolute precision improvement compared to the naive grammar induction approach using semantic phrase similarity.

Original languageEnglish
Title of host publication2014 IEEE Workshop on Spoken Language Technology, SLT 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages596-601
Number of pages6
ISBN (Electronic)9781479971299
DOIs
Publication statusPublished - 1 Apr 2014
Externally publishedYes
Event2014 IEEE Workshop on Spoken Language Technology, SLT 2014 - South Lake Tahoe, United States
Duration: 7 Dec 201410 Dec 2014

Publication series

Name2014 IEEE Workshop on Spoken Language Technology, SLT 2014 - Proceedings

Conference

Conference2014 IEEE Workshop on Spoken Language Technology, SLT 2014
Country/TerritoryUnited States
CitySouth Lake Tahoe
Period7/12/1410/12/14

Keywords

  • Grammar enhancement
  • Grammar induction
  • Spoken dialogue systems
  • Spoken language understanding

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