Effective use of prosody in parsing conversational speech

Jeremy G. Kahn*, Matthew Lease, Eugene Charniak, Mark Johnson, Mari Ostendorf

*Corresponding author for this work

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

26 Citations (Scopus)

Abstract

We identify a set of prosodic cues for parsing conversational speech and show how such features can be effectively incorporated into a statistical parsing model. On the Switchboard corpus of conversational speech, the system achieves improved parse accuracy over a state-of-the-art system which uses only lexical and syntactic features. Since removal of edit regions is known to improve downstream parse accuracy, we explore alternatives for edit detection and show that PCFGs are not competitive with more specialized techniques.

Original languageEnglish
Title of host publicationHuman Language Technology Conference and Conference on Empirical Methods in Natural Language Processing
Subtitle of host publicationProceedings of the Conference
Place of PublicationStroudsburg, PA
PublisherAssociation for Computational Linguistics (ACL)
Pages233-240
Number of pages8
DOIs
Publication statusPublished - Oct 2005
Externally publishedYes
EventHuman Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT - Vancouver, BC, Canada
Duration: 6 Oct 20058 Oct 2005

Other

OtherHuman Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT
CountryCanada
CityVancouver, BC
Period6/10/058/10/05

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