Publication Type

Conference Proceeding Article

Publication Date

11-2005

Abstract

In this paper, we present a principled method for accurately extracting coherent relevant passages of variable lengths using HMMs. We show that with appropriate parameter estimation, the HMM method outperforms a number of strong baseline methods on two data sets.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management, October 31 - November 5, 2005, Bremen, Germany

First Page

289

Last Page

290

ISBN

9781595931405

Identifier

10.1145/1099554.1099631

Publisher

ACM

City or Country

Bremen, Germany

Additional URL

http://dx.doi.org/10.1145/1099554.1099631

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