Paper: Parsing And Subcategorization Data

ACL ID P06-2067
Title Parsing And Subcategorization Data
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

In this paper, we compare the per- formance of a state-of-the-art statistical parser (Bikel, 2004) in parsing written and spoken language and in generating sub- categorization cues from written and spo- ken language. Although Bikel’s parser achieves a higher accuracy for parsing written language, it achieves a higher ac- curacy when extracting subcategorization cues from spoken language. Our exper- iments also show that current technology for extracting subcategorization frames initially designed for written texts works equally well for spoken language. Addi- tionally, we explore the utility of punctu- ation in helping parsing and extraction of subcategorization cues. Our experiments show that punctuation is of little help in parsing spoken language and extracting subcategorization cues ...