A dempster-shafer theoretic approach to understanding indirect speech acts

Tom Williams, Rafael C. Núñez, Gordon Briggs, Matthias Scheutz, Kamal Premaratne, Manohar Murthi

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Understanding Indirect Speech Acts (ISAs) is an integral function of human understanding of natural language. Recent attempts at understanding ISAs have used rule-based approaches to map utterances to deep semantics. While these approaches have been successful in handling a wide range of ISAs, they do not take into account the uncertainty associated with the utterance’s context, or the utterance itself. We present a new approach for understanding ISAs using the Dempster- Shafer theory of evidence and show how this approach increases the robustness of ISA inference by (1) accounting for uncertain implication rules and context, (2) fluidly adapting rules given new information, and (3) enabling better modeling of the beliefs of other agents.

Fingerprint

Theory of Evidence
Dempster-Shafer Theory
Natural Language
Semantics
Speech
Robustness
Uncertainty
Modeling
Range of data
Context
Human
Beliefs

Keywords

  • Dempster-Shafer theory
  • Intention understanding
  • Speech act theory

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

A dempster-shafer theoretic approach to understanding indirect speech acts. / Williams, Tom; Núñez, Rafael C.; Briggs, Gordon; Scheutz, Matthias; Premaratne, Kamal; Murthi, Manohar.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8864, 01.01.2014, p. 141-153.

Research output: Contribution to journalArticle

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