Conference Proceeding Article
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.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management, October 31 - November 5, 2005, Bremen, Germany
City or Country
JIANG, Jing and ZHAI, ChengXiang.
Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models. (2005). CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management, October 31 - November 5, 2005, Bremen, Germany. 289-290. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1257