Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models

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.

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Main Authors:	JIANG, Jing, ZHAI, ChengXiang
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2005
Subjects:	Databases and Information Systems Numerical Analysis and Scientific Computing
Online Access:	https://ink.library.smu.edu.sg/sis_research/1257 https://ink.library.smu.edu.sg/context/sis_research/article/2256/viewcontent/p289_jiang.pdf
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-2256
record_format	dspace
spelling	sg-smu-ink.sis_research-22562018-07-13T02:57:50Z Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models JIANG, Jing ZHAI, ChengXiang 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. 2005-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1257 info:doi/10.1145/1099554.1099631 https://ink.library.smu.edu.sg/context/sis_research/article/2256/viewcontent/p289_jiang.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Databases and Information Systems Numerical Analysis and Scientific Computing
spellingShingle	Databases and Information Systems Numerical Analysis and Scientific Computing JIANG, Jing ZHAI, ChengXiang Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models
description	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.
format	text
author	JIANG, Jing ZHAI, ChengXiang
author_facet	JIANG, Jing ZHAI, ChengXiang
author_sort	JIANG, Jing
title	Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models
title_short	Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models
title_full	Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models
title_fullStr	Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models
title_full_unstemmed	Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models
title_sort	accurately extracting coherent relevant passages using hidden markov models
publisher	Institutional Knowledge at Singapore Management University
publishDate	2005
url	https://ink.library.smu.edu.sg/sis_research/1257 https://ink.library.smu.edu.sg/context/sis_research/article/2256/viewcontent/p289_jiang.pdf
_version_	1770570911053774848

Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models

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