Evolutionary optimization for ranking how-to questions based on user-generated contents

被引：7

作者：

Atkinson, John ^{[1
]}

Figueroa, Alejandro ^{[2
]}

Andrade, Christian ^{[1
]}

机构：

[1] Univ Concepcion, Fac Engn, Dept Comp Sci, Concepcion, Chile

[2] Yahoo Res Latin Amer, Santiago, Chile

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2013年 / 40卷 / 17期

关键词：

Community question-answering; Question-answering systems; Concept clustering; Evolutionary computation; HPSG parsing;

D O I：

10.1016/j.eswa.2013.06.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, a new evolutionary model is proposed for ranking answers to non-factoid (how-to) questions in community question-answering platforms. The approach combines evolutionary computation techniques and clustering methods to effectively rate best answers from web-based user-generated contents, so as to generate new rankings of answers. Discovered clusters contain semantically related triplets representing question-answers pairs in terms of subject-verb-object, which is hypothesized to improve the ranking of candidate answers. Experiments were conducted using our evolutionary model and concept clustering operating on large-scale data extracted from Yahoo! Answers. Results show the promise of the approach to effectively discovering semantically similar questions and improving the ranking as compared to state-of-the-art methods. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：7060 / 7068

页数：9

共 50 条

[1]

Agichtein Eugene, 2008, Proceedings of the 17th International Conference on World Wide Web, P467

[2]

Alba E., 2005, EVOLUTIONARY ALGORIT, P130

[3]

[Anonymous], 2012, Proceedings of the 2012 International Joint Conference on Neural Networks

[4]

[Anonymous], 2008, Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '08, DOI DOI 10.1145/1390334.1390417

[5]

[Anonymous], AAAI 2013

[6]

[Anonymous], 2008, P 2008 INT C WEB SEA

[7]

[Anonymous], 2008, P 22 INT C COMP LING

[8]

[Anonymous], 2008, P 31 ANN INT ACM SIG

[9]

[Anonymous], 2011, AAAI

[10]

Blooma M. J., 2011, Proceedings of the 2011 Eighth International Conference on Information Technology: New Generations (ITNG), P591, DOI 10.1109/ITNG.2011.108

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