{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T15:53:12Z","timestamp":1762271592888,"version":"3.41.0"},"reference-count":23,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2011,12,1]],"date-time":"2011-12-01T00:00:00Z","timestamp":1322697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["HIT.KLOF.2010060"],"award-info":[{"award-number":["HIT.KLOF.2010060"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61073127"],"award-info":[{"award-number":["61073127"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Transactions on Asian Language Information Processing"],"published-print":{"date-parts":[[2011,12]]},"abstract":"<jats:p>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. Two deep belief networks with different architectures are proposed by us to model the semantic relevance for the question-answer pairs. According to the investigation of the textual similarity between the community-driven question-answering (cQA) dataset and the forum dataset, a learning strategy is adopted to promote our models\u2019 performance on the social community corpora without hand-annotating work. The experimental results show that our method outperforms the traditional approaches on both the cQA and the forum corpora.<\/jats:p>","DOI":"10.1145\/2025384.2025389","type":"journal-article","created":{"date-parts":[[2011,12,6]],"date-time":"2011-12-06T19:05:23Z","timestamp":1323198323000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Deep Learning Approaches to Semantic Relevance Modeling for Chinese Question-Answer Pairs"],"prefix":"10.1145","volume":"10","author":[{"given":"Baoxun","family":"Wang","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bingquan","family":"Liu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolong","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengjie","family":"Sun","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2011,12]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1341531.1341557"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/345508.345576"},{"volume-title":"Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (IJCNLP\u201909)","author":"Bernhard D.","key":"e_1_2_1_3_1"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390415"},{"volume-title":"Proceedings of the Conference on Human Language Translation (HLT\u201908)","author":"Ding S.","key":"e_1_2_1_5_1"},{"volume-title":"Proceedings of the Conference on Human Language Translation (HLT\u201908)","author":"Duan H.","key":"e_1_2_1_6_1"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1111449.1111488"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760128018"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"e_1_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Hinton G. E. and Salakhutdinov R. R. 2006. Reducing the dimensionality of data with neural networks. Science 313 5786 504--507. Hinton G. E. and Salakhutdinov R. R. 2006. Reducing the dimensionality of data with neural networks. Science 313 5786 504--507.","DOI":"10.1126\/science.1127647"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1571973"},{"volume-title":"Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI\u201907)","author":"Huang J.","key":"e_1_2_1_12_1"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1099554.1099572"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148212"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1099554.1099571"},{"volume-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP\u201908)","author":"Lee J.-T.","key":"e_1_2_1_16_1"},{"volume-title":"Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (IJCNLP\u201909)","author":"Li F.","key":"e_1_2_1_17_1"},{"volume-title":"Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (ACL\u201907)","author":"Riezler S.","key":"e_1_2_1_18_1"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2008.11.006"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220483"},{"volume-title":"Proceedings of the Conference on Human Language Translation (HLT\u201908)","author":"Surdeanu M.","key":"e_1_2_1_21_1"},{"volume-title":"Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL\u201910)","author":"Tomasoni M.","key":"e_1_2_1_22_1"},{"volume-title":"Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC\u201909)","author":"Wang B.","key":"e_1_2_1_23_1"}],"container-title":["ACM Transactions on Asian Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2025384.2025389","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2025384.2025389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T09:48:52Z","timestamp":1750240132000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2025384.2025389"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,12]]},"references-count":23,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2011,12]]}},"alternative-id":["10.1145\/2025384.2025389"],"URL":"https:\/\/doi.org\/10.1145\/2025384.2025389","relation":{},"ISSN":["1530-0226","1558-3430"],"issn-type":[{"type":"print","value":"1530-0226"},{"type":"electronic","value":"1558-3430"}],"subject":[],"published":{"date-parts":[[2011,12]]},"assertion":[{"value":"2010-11-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2011-04-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2011-12-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}