Advances in Domain Independent Linear Text Segmentation

Advances in Domain Independent Linear Text Segmentation (2000)

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by Freddy Y. Y. Choi

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100 - 1 self

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@MISC{Choi00advancesin,
    author = {Freddy Y. Y. Choi},
    title = {Advances in Domain Independent Linear Text Segmentation},
    year = {2000}
}

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Abstract

This paper describes a method for linear text seg- mc. ntation which is twice as accurate and over seven times as fast as the state-of-the-art (Reynar, 1998). Inter-sentence similarity is replaced by rank in the local context. Boundary locations are discovered by divisive clustering.

Citations

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260	Multi-Paragraph Segmentation of Expository Text - Hearst - 1994
191	Topic detection and tracking pilot study: Final report - Allan, Carbonell, et al. - 1998
179	Statistical models for text segmentation - Beeferman, Berger, et al. - 1999
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67	Text segmentation by topic - Ponte, Croft - 1997
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46	What is a word, what is a sentence? Problems of tokenization - Grefenstette, Tapanainen
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39	Adaptive sentence boundary disambiguation - Palmer, Hearst - 1994
32	Segmentation of expository texts by hierarchical agglomerative clustering - Yaari - 1997
31	Statistical models for topic segmentation - Reynar - 1999
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16	Cohesion and collocation: Using context vectors in text segmentation - Kaufmann - 1999
16	An algorithm for sux stripping. Program - Porter - 1980
10	A cluster-based approach to tracking, detection and segmentation of broadcast news - Eichmann, Ruiz, et al. - 1999
7	Topic detection and tracking pilot study report - Allan, Carbonell, et al. - 1998
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2	Eagle: An extensible architecture for general linguistic engineering - Reynar, Baldwin, et al. - 1997
1	Linear segmentation and segment signi - McKeown - 1998