Paper: Integrating Multiple Knowledge Sources For Detection And Correction Of Repairs In Human-Computer Dialog

ACL ID P92-1008
Title Integrating Multiple Knowledge Sources For Detection And Correction Of Repairs In Human-Computer Dialog
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1992
Authors

We have analyzed 607 sentences of sponta- neous human-computer speech data containing re- pairs, drawn from a total corpus of 10,718 sen- tences. We present here criteria and techniques for automatically detecting the presence of a repair, its location, and making the appropriate correc- tion. The criteria involve integration of knowledge from several sources: pattern matching, syntactic and semantic analysis, and acoustics.