Story segmentation of broadcast news in Arabic, Chinese and English using multi-window features.
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval（2007）
摘要
The paper describes a maximum entropy based story segmentation system for Arabic, Chinese and English. In experiments with broadcast news data from TDT-3, TDT-4, and corpora collected in the DARPA GALE project we obtain a substantial performance gain using multiple overlapping windows for text-based features.
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