Entry Wang:2011:DLA from talip.bib
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BibTeX entry
@Article{Wang:2011:DLA,
author = "Baoxun Wang and Bingquan Liu and Xiaolong Wang and
Chengjie Sun and Deyuan Zhang",
title = "Deep Learning Approaches to Semantic Relevance
Modeling for {Chinese} Question--Answer Pairs",
journal = j-TALIP,
volume = "10",
number = "4",
pages = "21:1--21:??",
month = dec,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2025384.2025389",
ISSN = "1530-0226 (print), 1558-3430 (electronic)",
ISSN-L = "1530-0226",
bibdate = "Thu Dec 15 09:23:26 MST 2011",
bibsource = "http://portal.acm.org/;
http://www.math.utah.edu/pub/tex/bib/talip.bib",
abstract = "The human-generated question-answer pairs in the Web
social communities are of great value for the research
of automatic question-answering technique. Due to the
large amount of noise information involved in such
corpora, it is still a problem to detect the answers
even though the questions are exactly located.
Quantifying the semantic relevance between questions
and their candidate answers is essential to answer
detection in social media corpora. Since both the
questions and their answers usually contain a small
number of sentences, the relevance modeling methods
have to overcome the problem of word feature sparsity.
In this article, the deep learning principle is
introduced to address the semantic relevance modeling
task.",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Asian Language Information
Processing",
journal-URL = "http://portal.acm.org/browse_dl.cfm?&idx=J820",
}
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