Paper: Parsing Conversational Speech Using Enhanced Segmentation

ACL ID N04-4032
Title Parsing Conversational Speech Using Enhanced Segmentation
Venue Human Language Technologies
Session Short Paper
Year 2004
Authors

The lack of sentence boundaries and presence of dis- fluencies pose difficulties for parsing conversational speech. This work investigates the effects of au- tomatically detecting these phenomena on a proba- bilistic 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 er- ror reduction in parser performance, and that presen- tation of interruption points to the parser improves performance over using sentence boundaries alone.