@inproceedings{e3f4ab17a0e54f3393611a04ceeeb4f3,
title = "Accurately extracting coherent relevant passages using hidden Markov models",
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.",
keywords = "Hidden Markov Models, Passage Retrieval",
author = "Jing Jiang and Zhai, {Cheng Xiang}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; CIKM'05 - Proceedings of the 14th ACM International Conference on Information and Knowledge Management ; Conference date: 31-10-2005 Through 05-11-2005",
year = "2005",
doi = "10.1145/1099554.1099631",
language = "English (US)",
isbn = "1595931406",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery",
pages = "289--290",
booktitle = "CIKM'05 - Proceedings of the 14th ACM International Conference on Information and Knowledge Management",
address = "United States",
}