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Extending domain coverage of language understanding systems via intent transfer between domains using knowledge graphs and search query click logs

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

Abstract

This paper proposes a new technique to enable Natural Language Understanding (NLU) systems to handle user queries beyond their original semantic schemas defined by intents and slots. Knowledge graph and search query logs are used to extend NLU system's coverage by transferring intents from other domains to a given domain. The transferred intents as well as existing intents are then applied to a set of new slots that they are not trained with. The knowledge graph and search click logs are used to determine whether the new slots (i.e. entities) or their attributes in the graph can be used together with transfered intents without re-training the underlying NLU models with the expanded (i.e. with new intents and slots) schema. Experimental results show that the proposed technique can in fact be used in extending NLU system's domain coverage in fulfilling the user's request.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4067-4071
Number of pages5
ISBN (Print)9781479928927
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: May 4 2014May 9 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country/TerritoryItaly
CityFlorence
Period5/4/145/9/14

Keywords

  • domain expansion
  • intent trasnfer
  • knowledge graphs
  • Natural language understanding
  • semantic schemas

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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