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The major challenges for question retrieval in cQA are related to solving the lexical gap problem and estimating the relevance between questions. In this study, we first solve the lexical gap problem using a translation\u2010based language model (TRLM). Thereafter, we determine features and methods that are competent for estimating the relevance between two questions. For this purpose, we explore ways to use the results of a dependency parser and question classification for category information. Head\u2010dependent pairs are first extracted as bigram features, called dependency bigrams, from the analysis results of the dependency parser. The probability of each category is estimated using the <jats:italic>softmax<\/jats:italic> approach based on the scores of the classification results. Subsequently, we propose two retrieval models\u2014the dependency\u2010based model (DM) and category\u2010based model (CM)\u2014and they are applied to the previous model, TRLM. The experimental results demonstrate that the proposed methods significantly improve the performance of question retrieval in cQA services.<\/jats:p>","DOI":"10.1002\/asi.24196","type":"journal-article","created":{"date-parts":[[2019,3,22]],"date-time":"2019-03-22T03:17:48Z","timestamp":1553224668000},"page":"1194-1209","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Improving question retrieval in community question answering service using dependency relations and question classification"],"prefix":"10.1002","volume":"70","author":[{"given":"Kyoungman","family":"Bae","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Dong\u2010A University  Busan, 604\u2010714 South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youngjoong","family":"Ko","sequence":"additional","affiliation":[{"name":"Department of Applied Data Science, SKKU Institute for Convergence, Sungkyunkwan University  Suwon\u2010si 16419 South Korea"},{"name":"Department of Computer Engineering, Dong\u2010A University  Busan, 604\u2010714 South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,3,22]]},"reference":[{"key":"e_1_2_7_2_1","volume-title":"Question classification and retrieval based on the word embedding for the cQA service","author":"Bae K.M.","year":"2016"},{"key":"e_1_2_7_3_1","doi-asserted-by":"crossref","unstructured":"Bae K.M.&Ko Y.J.(2012). 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