@inproceedings{581f8e2e151946b286d58707553cc5b5,
title = "Multi-scale text Tiling for automatic story segmentation in Chinese broadcast news",
abstract = "This paper applies Chinese subword representations, namely character and syllable n-grams, into the TextTiling-based automatic story segmentation of Chinese broadcast news. We show the robustness of Chinese subwords against speech recognition errors, out-of-vocabulary (OOV) words and versatility in word segmentation in lexical matching on errorful Chinese speech recognition transcripts. We propose a multi-scale TextTiling approach that integrates both the specificity of words and the robustness of subwords in lexical similarity measure for story boundary identification. Experiments on the TDT2 Mandarin corpus show that subword bigrams achieve the best performance among all scales with relative f-measure improvement of 8.84% (character bigram) and 7.11% (syllable bigram) over words. Multi-scale fusion of subword bigrams with words can bring further improvement. It is promising that the integration of syllable bigram with syllable sequence of word achieves an f-measure gain of 2.66% over the syllable bigram alone.",
keywords = "Multi-scale fusion, Multimedia retrieval, Spoken document retrieval, Spoken document segmentation, Story segmentation, TextTiling, Topic segmentation",
author = "Lei Xie and Jia Zeng and Wei Feng",
year = "2008",
doi = "10.1007/978-3-540-68636-1_33",
language = "英语",
isbn = "3540686339",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "345--355",
booktitle = "Information Retrieval Technology - 4th Asia Information Retrieval Symposium, AIRS 2008, Revised Selected Papers",
note = "4th Asia Information Retrieval Symposium, AIRS 2008 ; Conference date: 15-01-2008 Through 18-01-2008",
}