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Accurately extracting coherent relevant passages using hidden Markov models
2005
Proceedings of the 14th ACM international conference on Information and knowledge management - CIKM '05
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.
doi:10.1145/1099554.1099631
dblp:conf/cikm/JiangZ05
fatcat:3eeoe526tngbna7glevpaubfrm