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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Bibliographic Details
Main Authors: JIANG, Jing, ZHAI, ChengXiang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2005
Subjects:
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