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

Expert Systems with Applications

Volumn 40, Issue 17, 2013, Pages 7060-7068

  Atkinson, John ^a   Figueroa, Alejandro ^b   Andrade, Christian ^a  

^a UNIVERSITY OF CONCEPCIÓN   (Chile)

^b YAHOO RESEARCH   (United States)

Author keywords

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

Indexed keywords

CONCEPT CLUSTERING; EVOLUTIONARY COMPUTATION TECHNIQUES; EVOLUTIONARY OPTIMIZATIONS; HPSG PARSING; QUESTION ANSWERING; QUESTION ANSWERING SYSTEMS; STATE-OF-THE-ART METHODS; USER-GENERATED CONTENT;

EVOLUTIONARY ALGORITHMS; INFORMATION SYSTEMS; MATHEMATICAL MODELS;

ARTIFICIAL INTELLIGENCE;

EID: 84880584113     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.06.017     Document Type: Article

References (50)

1. E. Agichtein, C. Castillo, D. Donato, A. Gionis, and G. Mishne Finding high-quality content in social media Proceedings of the 2008 international conference on web search and data mining, WSDM '08 2008 ACM New York, NY, USA 183 194
2. E. Alba, and C. Cotta Evolutionary algorithms 2005 Chapman and Hall/CRC pp. 130-145
3. Bian, J., Liu, Y., Agichtein, E., & Zha, H. (2008). Finding the right facts in the crowd: Factoid question answering over social media. In World Wide Web conference series (pp. 467-476).
4. M.J. Blooma, A.Y.K. Chua, and D.H.-L. Goh Quadripartite graph-based clustering of questions Proceedings of the 2011 eighth international conference on information technology: New generations 2011 IEEE Computer Society Washington, DC, USA 591 596
5. Blooma, M. J., & Kurian, J. C., 2011. Research issues in community based question answering. In Proceedings of the 2011 Pacific Asia conference on information systems (PACIS).
6. Blooma, M. J., & Kurian, J. C. (2012). Clustering similar questions in social question answering systems. In Proceedings of the 2012 Pacific Asia conference on information systems (PACIS).
7. Y. Cao, H. Duan, C.Y. Lin, Y. Yu, and H.W. Hon Recommending questions using the mdl-based tree cut model Proceedings of the 17th international conference on World Wide Web, WWW '08 2008 ACM 81 90
8. L. Chen, D. Zhang, and L. Mark Understanding user intent in community question answering Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion 2012 ACM New York, NY, USA 823 828
9. Dang, H. T., Lin, J., & Kelly, D. (2006). Overview of the TREC 2006 question answering track. In Proceedings of the text retrieval conference.
10. Derczynski, L., Wang, J., Gaizauskas, R., & Greenwood, M. (2008). A data driven approach to query expansion in question answering. In The second workshop on information retrieval for question answering (IR4QA) (pp. 34-41).
11. W. Fan, E.A. Fox, and H. Wu The effects of fitness functions on genetic programming-based ranking discovery for web search Journal of the American Society for Information Science and Technology 55 7 2004 628 636 5
12. Figueroa, A., & Neumann, G. (2013). Learning to Rank effective paraphrases from query logs for community question answering. In AAAI 2013.
13. Florez-Revuelta, F. (2007). Specific crossover and mutation operators for a grouping problem based on interaction data in a regional science context. In Evolutionary computation, 2007, CEC 2007, IEEE Congress (pp. 378-385). (Pubitemid 351371424)
14. F.M. Harper, D. Moy, and J.A. Konstan Facts or friends?: Distinguishing informational and conversational questions in social q& a sites Proceedings of the SIGCHI conference on human factors in computing systems, CHI '09 2009 ACM New York, NY, USA 759 768
15. F.M. Harper, D. Raban, S. Rafaeli, and J.A. Konstan Predictors of answer quality in online Q&A sites Proceeding of the 26th annual SIGCHI conference on Human factors in computing systems, CHI '08 2008 ACM New York, NY, USA 865 874
16. J. Jeon, W.B. Croft, J.H. Lee, and S. Park A framework to predict the quality of answers with non-textual features Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '06 2006 ACM New York, NY, USA 228 235
17. B.M. John, A.Y.-K. Chua, and D.H.-L. Goh What makes a high-quality user-generated answer? IEEE Internet Computing 15 1 2011 66 71
18. Karimzadehgan, M., Li, W., Ruofei, Z., & Mao, J. (2011). A stochastic learning-to-rank algorithm and its application to contextual advertising. In The 20th international World Wide Web conference (pp. 377-386).
19. Ko, J., Wang, J., Mitamura, T., & Nyberg, E. (2007). Language-independent probabilistic answer ranking for question answering. In Proceedings of the 45th annual meeting of the association for computational linguistics (pp. 784-791).
20. W.B. Langdon Elementary bit string mutation landscapes Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms, FOGA '11 2011 ACM New York, NY, USA 25 42 URL:
21. Li, B., Liu, Y., Ram, A., Garcia, E., & Agichtein, E. (2008). Exploring question subjectivity prediction in community QA. In Proceedings of the 31st annual international ACM SIGIR.
22. Li, B., Lyu, M., & King, I. (2012). Communities of Yahoo! answers and baidu zhidao: Complementing or competing? In The 2012 international joint conference on neural networks (IJCNN) (pp. 1-8).
23. Q. Liu, and E. Agichtein Modeling answerer behavior in collaborative question answering systems Advances in information retrieval 2011 Springer 67 79
24. X. Liu, W.B. Croft, and M. Koll Finding experts in community-based question-answering services Proceedings of the 14th ACM international conference on Information and knowledge management, CIKM '05 2005 ACM New York, NY, USA 315 316 (Pubitemid 44022181)
25. Y. Liu, J. Bian, and E. Agichtein Predicting information seeker satisfaction in community question answering Proceedings of the 31st annual international ACM SIGIR conference, SIGIR '08 2008 ACM 483 490
26. Liu, Y., Li, S., Cao, Y., Lin, C. -Y., Han, D., & Yu, Y. (2008). Understanding and summarizing answers in community-based question answering services. In International Conference on Computational Linguistics (pp. 497-504).
27. E. Mendes Rodrigues, and N. Milic-Frayling Socializing or knowledge sharing? Characterizing social intent in community question answering Proceedings of the 18th ACM conference on Information and knowledge management, CIKM '09 2009 ACM New York, NY, USA 1127 1136
28. Nam, K. K., Ackerman, M. S., & Adamic, L. A. (2009). Questions in, knowledge in? A study of naver's question answering community. In Computer human interaction (pp. 779-788).
29. Pal, A., Farzan, R., Konstan, J. A., & Kraut, R. E. (2011). Early detection of potential experts in question answering communities. In UMAP (pp. 231-242).
30. A. Pal, F.M. Harper, and J.A. Konstan Exploring question selection bias to identify experts and potential experts in community question answering ACM Transactions on Information Systems 30 2 2012 10
31. Pal, A., & Konstan, J. A. (2010). Expert identification in community question answering: Exploring question selection bias. In CIKM (pp. 1505-1508).
32. Rechavi, A, & Rafaeli, S. (2012). Knowledge and social networks in Yahoo! answers. In 2013 46th Hawaii international conference on system sciences (pp. 781-789).
33. F. Riahi, Z. Zolaktaf, M. Shafiei, and E. Milios Finding expert users in community question answering Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion 2012 ACM New York, NY, USA 791 798
34. D.E. Rose, and D. Levinson Understanding user goals in web search Proceedings of the 13th international conference on World Wide Web, WWW '04 2004 ACM New York, NY, USA 13 19 (Pubitemid 40752736)
35. A. Shtok, G. Dror, Y. Maarek, and I. Szpektor Learning from the past: answering new questions with past answers Proceedings of the 21st international conference on World Wide Web, WWW '12 2012 ACM New York, NY, USA 759 768
36. Surdeanu, M., Ciaramita, M., & Zaragoza, H. (2008). Learning to rank answers on large online QA collections. In Proceedings of the 46th annual meeting for the association for computational linguistics: human language technologies (ACL-08: HLT) (pp. 719-727).
37. Surdeanu, M., Ciaramita, M., & Zaragoza, H. (2011). Learning to rank answers to non-factoid questions from web collections. In Computational linguistics (Vol. 37, pp. 351-383).
38. M.A. Suryanto, E.P. Lim, A. Sun, and R.H.L. Chiang Quality-aware collaborative question answering: methods and evaluation Proceedings of the second ACM international conference on web search and data mining, WSDM '09. 2009 ACM New York, NY, USA 142 151
39. Tamura, A., Takamura, H., & Okumura, M. (2005). Classification of multiple-sentence questions. In IJCNLP (pp. 426-437).
40. A. Tamura, H. Takamura, and M. Okumura Classification of multiple-sentence questions IPSJ Journal 47 6 2006 1954 1962
41. -IA 2007: Artificial intelligence and human-oriented computing (pp. 398-409).
42. Trotman, A. (2004). An artificial intelligence approach to information retrieval. In SIGIR '04 proceedings of the 27th annual international ACM SIGIR conference on research and development in information retrieval (pp. 603-608).
43. Verberne, S., Boves, L., Oostdijk, N., & Coppen, P. -A. (2010). What is not in the bag of words for why - QA? (Vol. 36, pp. 229 245). Computational Linguistics, MIT Press.
44. S. Verberne, H. Halteren, D. Theijssen, S. Raaijmakers, and L. Boves Learning to rank for why-question answering Information Retrieval 14 2 2011 107 132 6
45. Voorhees, E. M. (2005). Overview of TREC 2005. In TREC.
46. Wanga, K., Ming, Z., & Seng Chua, T. (2009). A syntactic tree matching approach to finding similar questions in community-based QA services. In Research and development in information retrieval (pp. 187-194).
47. Xue, X., Jeon, J., & Croft, W. B., (2008). Retrieval models for question and answer archives. In Research and development in information retrieval (pp. 475-482).
48. Yang, L., Bao, S., Lin, Q., Wu, X., Han, D., Su, Z., et al. (2011). Analyzing and predicting not-answered questions in community-based question answering services. In AAAI.
49. Yeh, J. -y., Lin, J. -y., Ke, H. -r., Yang, W. -p. (2007). Learning to rank for information retrieval using genetic programming. In SIGIR 2007 workshop: Learning to rank for information retrieval.
50. Z.-M. Zhou, M. Lan, Z.-Y. Niu, and Y. Lu Exploiting user profile information for answer ranking in CQA Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion 2012 ACM New York, NY, USA 767 774