Handling non-sentential utterances in a continuous understanding framework

Carlos Gómez Gallo*

*Corresponding author for this work

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

Abstract

The goal of my research is to understand speech input in a continuous manner by treating the input stream as fragmental utterances. This allows us to use various approaches to predict what comes downstream. Possible interpretations are trimmed by such predictions which in turn also allow us to complete information not readily available in the fragmental utterance. Semantic frames can encode all possible arguments for domain actions. As utterances are processed continuously, appropriate frames can be activated so that fragment interpretations can fill, correct or extend frames under consideration. In turn, feedback can be provided to the parser as the frames are manipulated possibly based on the completeness of the semantic frame construction.

Original languageEnglish (US)
Title of host publicationAAAI-07/IAAI-07 Proceedings
Subtitle of host publication22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
Pages1929-1930
Number of pages2
StatePublished - Nov 28 2007
EventAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference - Vancouver, BC, Canada
Duration: Jul 22 2007Jul 26 2007

Publication series

NameProceedings of the National Conference on Artificial Intelligence
Volume2

Other

OtherAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
CountryCanada
CityVancouver, BC
Period7/22/077/26/07

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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