A method for understanding intentions of indirect speech acts in natural language interfaces

Hideki Mima, Junichi Aoe, Masao Fuketa, Yoshitaka Hayashi

Research output: Contribution to journalArticlepeer-review

Abstract

In an attempt to propose a robust method for understanding natural language (NL) interface commands, a scheme is proposed that infers intentions from an indirect speech-act that does not express users' real intentions explicitly. This method classifies the real intentions of the indirect speech-act into: 1) refusal; 2) reversal; 3) restriction; 4) benefit; and 5) disability. Further, concepts are abstracted for operations, e.g., displaying, moving, and deleting information systems; and constructing the operation knowledge base. This knowledge based comprises operational concepts and the relationships between them. These relationships are assigned the foregoing classifications for intentions. In addition, we construct the knowledge base of objects for the target of operations, e.g., files, figures, strings. This knowledge base contains the relationships: a) antonym; b) exclusive; c) part-of, between the objects; and uses these relations to infer the transitions between the objects. An algorithm is the proposed to infer concepts for operations and concepts for target objects of operations that may represent the user's actual intentions. This proposal scheme was tested with requests on UNIX and a commercially available Japanese Word Processor. The system successfully inferred the intentions for approximately 80 percent of the user's indirect speech-act.

Original languageEnglish
Pages (from-to)77-91
Number of pages15
JournalSystems and Computers in Japan
Volume27
Issue number1
DOIs
Publication statusPublished - Jan 1996
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture
  • Computational Theory and Mathematics

Fingerprint

Dive into the research topics of 'A method for understanding intentions of indirect speech acts in natural language interfaces'. Together they form a unique fingerprint.

Cite this