Data-Driven Answer Selection in Community QA Systems

wei, 2015, Re-ranking voting-based answers by discarding user behavior biases, Proc 24th Int Conf Artif Intell, 2380

10.1145/1277741.1277792

10.1109/TCYB.2015.2418233

10.1109/TKDE.2016.2539166

10.1109/TKDE.2013.48

10.1145/1277741.1277809

10.1145/1458082.1458348

10.1145/1242572.1242603

10.1145/1321440.1321575

10.1145/1571941.1571974

10.1145/1571941.1571975

10.1145/775047.775067

10.1145/1390334.1390417

10.1145/1363686.1363944

10.1109/TMM.2012.2229971

10.18653/v1/S15-2038

10.1016/j.ins.2015.10.024

10.1145/860435.860445

10.1145/1076034.1076103

10.1145/1076034.1076173

surdeanu, 2008, Learning to rank answers on large online QA collections, Proc Annu Meeting Assoc Comput Linguist Conf Human Lang Technol, 719

10.1145/1148170.1148205

10.1145/1341531.1341557

10.1145/2065023.2065030

10.1145/2187836.2187939

ji, 2013, Learning to rank for question routing in community question answering, Proc ACM Int Conf Inf Knowl Manag, 2363

10.1145/2766462.2767722

10.1145/1148170.1148212

yang, 2013, CQArank: Jointly model topics and expertise in community question answering, Proc ACM Int Conf Inf Knowl Manag, 99

10.1145/2187980.2188201

10.1109/TKDE.2015.2399298

10.1145/1871437.1871678

ali, 2012, Modern Advances in Intelligent Systems and Tools, 431

10.1145/2396761.2396867

blei, 2003, Latent Dirichlet allocation, J Mach Learn Res, 3, 993

10.1109/TIP.2016.2522298

savenkov, 2015, Ranking answers and Web passages for non-factoid question answering: Emory university at TREC LiveQA, Proc 24th Text REtrieval Conf

10.1145/1961189.1961199

dalip, 2013, Exploiting user feedback to learn to rank answers in QA forums: A case study with stack overflow, Proc Int ACM SIGIR Conf Res Develop Inf Retrieval, 543, 10.1145/2484028.2484072

10.1145/1076034.1076063

10.1145/2020408.2020594

le, 2014, Distributed representations of sentences and documents, Proc 31st Int Conf Mach Learn, 1188

10.1145/1367497.1367561

10.1145/2559157

10.1145/1835449.1835518