@inproceedings{67d8732588864c6097bcf7ebf6199148,
title = "Subword lexical chaining for automatic story segmentation in Chinese broadcast news",
abstract = "We present a subword lexical chaining approach to automatic story segmentation of Chinese broadcast news (BN). Conventional lexical chains link related words with cohesion (e.g. repetition of words) and high concentration points of starting and ending chains are indicative of story boundaries. However, inevitable speech recognition errors in BN transcripts may destroy the cohesiveness of words, resulting in word match failures. We show the robustness of Chinese subwords (characters and syllables) in lexical matching in errorful ASR transcripts. This motivates us to discover story boundaries on chains formed by character and syllable n-gram units. Experimental results on the TDT2 Mandarin corpus show that chaining by character unigram exhibits the best story segmentation performance with relative F-measure improvement of 6.06% over conventional word chaining. Integrations of multi-scales (words and subwords) exhibit further improvement. For example, fusion by voting from different scales achieves an F-measure gain of 9.04% over words.",
keywords = "Chinese, Multimedia, Spoken document retrieval, Story segmentation, Topic segmentation",
author = "Lei Xie and Yulian Yang and Jia Zeng",
year = "2008",
doi = "10.1007/978-3-540-89796-5_26",
language = "英语",
isbn = "354089795X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "248--258",
booktitle = "Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings",
note = "9th Pacific Rim Conference on Multimedia, PCM 2008 ; Conference date: 09-12-2008 Through 13-12-2008",
}