Abstract
In this paper, we present results from a Broadcast News story segmentation system developed for the SRI NIGHTINGALE system operating on English, Arabic and Mandarin news shows to provide input to subsequent question-answering processes. Using a rule-induction algorithm with automatically extracted acoustic and lexical features, we report success rates that are competitive with state-of-the-art systems on each input language. We further demonstrate that features useful for English and Mandarin are not discriminative for Arabic.
Cite
CITATION STYLE
Rosenberg, A., & Hirschberg, J. (2006). Story segmentation of brodcast news in English, Mandarin and Arabic. In HLT-NAACL 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Short Papers (pp. 125–128). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1614049.1614081
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
