Paper: | SLP-P6.1 | ||
Session: | Speech Understanding, Translation, Applications and Systems | ||
Time: | Tuesday, May 16, 16:30 - 18:30 | ||
Presentation: | Poster | ||
Topic: | Speech and Spoken Language Processing: Spoken Language Applications and Systems | ||
Title: | Reranking for Sentence Boundary Detection in Conversational Speech | ||
Authors: | Brian Roark, Oregon Health & Science University, United States; Yang Liu, University of Texas, Dallas, United States; Mary Harper, Purdue University, United States; Robin Stewart, Williams College, United States; Matthew Lease, Brown University, United States; Matthew Snover, University of Maryland, College Park, United States; Izhak Shafran, Johns Hopkins University, United States; Bonnie Dorr, University of Maryland, College Park, United States; John Hale, Michigan State University, United States; Anna Krasnyanskaya, University of California, Los Angeles, United States; Lisa Yung, Johns Hopkins University, United States | ||
Abstract: | We present a reranking approach to sentence-like unit (SU) boundary detection, one of the EARS metadata extraction tasks. Techniques for generating relatively small n-best lists with high oracle accuracy are presented. For each candidate, features are derived from a range of information sources, including the output of a number of parsers. Our approach yields significant improvements over the best performing system from the NIST RT-04F community evaluation. |