Using linguistic and discourse structures to derive topics
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Text segmentation using reiteration and collocation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Word sense disambiguation and text segmentation based on lexical cohesion
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Computational Linguistics
NHS: a tool for the automatic construction of news hypertext
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
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We present a method for partitioning expository texts into coherent multi-paragraph units which reflect the subtopic structure of the texts. Using Chafe''s Flow Model of discourse, we observe that subtopics are often expressed by the interaction of multiple simultaneous themes. We describe two fully-implemented algorithms that use only term repetition information to determine the extents of the subtopics. We show that the segments correspond well to human judgements of the major subtopic boundaries of thirteen lengthy texts, and suggest the use of such segments in information retrieval applications.