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ANLP
1997

Identifying Topics by Position

13 years 5 months ago
Identifying Topics by Position
This paper addresses the problem of identifying likely topics of texts by their position in the text. It describes the automated training and evaluation of an Optimal Position Policy, a method of locating the likely positions of topic-bearing sentences based on genre-specific regularities of discourse structure. This method can be used in applications such as information retrieval, routing, and text summarization.
Chin-Yew Lin, Eduard H. Hovy
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1997
Where ANLP
Authors Chin-Yew Lin, Eduard H. Hovy
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