Procedure for quantitatively comparing the syntactic coverage of English grammars
HLT '91 Proceedings of the workshop on Speech and Natural Language
Edit detection and parsing for transcribed speech
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Effective use of prosody in parsing conversational speech
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A Comparison of Language Models for Dialog Act Segmentation of Meeting Transcripts
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
IEEE Transactions on Audio, Speech, and Language Processing
Exploring features for identifying edited regions in disfluent sentences
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Joint reranking of parsing and word recognition with automatic segmentation
Computer Speech and Language
Contextual maximum entropy model for edit disfluency detection of spontaneous speech
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
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The lack of sentence boundaries and presence of disfluencies pose difficulties for parsing conversational speech. This work investigates the effects of automatically detecting these phenomena on a probabilistic parser's performance. We demonstrate that a state-of-the-art segmenter, relative to a pause-based segmenter, gives more than 45% of the possible error reduction in parser performance, and that presentation of interruption points to the parser improves performance over using sentence boundaries alone.