{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T22:08:46Z","timestamp":1761948526527},"reference-count":12,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2019,11,1]]},"DOI":"10.1587\/transinf.2018edl8267","type":"journal-article","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T18:48:44Z","timestamp":1572547724000},"page":"2249-2252","source":"Crossref","is-referenced-by-count":1,"title":["Truth Discovery of Multi-Source Text Data"],"prefix":"10.1587","volume":"E102.D","author":[{"given":"Chen","family":"CHANG","sequence":"first","affiliation":[{"name":"Army Engineering University of PLA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianjun","family":"CAO","sequence":"additional","affiliation":[{"name":"Sixty-third Research Institute, National University of Defense Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qin","family":"FENG","sequence":"additional","affiliation":[{"name":"Army Engineering University of PLA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nianfeng","family":"WENG","sequence":"additional","affiliation":[{"name":"Sixty-third Research Institute, National University of Defense Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuling","family":"SHANG","sequence":"additional","affiliation":[{"name":"Army Engineering University of PLA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] Y. Li, J. Gao, C. Meng, Q. Li, L. Su, B. Zhao, W. Fan, and J. Han, \u201cA survey on truth discovery,\u201d Acm Sigkdd Explorations Newsletter, vol.17, no.2, pp.1-16, 2016. 10.1145\/2897350.2897352","DOI":"10.1145\/2897350.2897352"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] X.L. Dong, E. Gabrilovich, K. Murphy, V. Dang, W. Horn, C. Lugaresi, S. Sun, and W. Zhang, \u201cKnowledge-based trust: estimating the trustworthiness of web sources,\u201d Vldb Endowment, vol.8, no.9, pp.938-949, 2015. 10.14778\/2777598.2777603","DOI":"10.14778\/2777598.2777603"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] Q. Li, Y. Li, J. Gao, B. Zhao, W. Fan, and J. Han, \u201cResolving conflicts in heterogeneous data by truth discovery and source reliability estimation,\u201d ACM SIGMOD International Conference on Management of Data, pp.1187-1198, 2014. 10.1145\/2588555.2610509","DOI":"10.1145\/2588555.2610509"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] L. Li, B. Qin, W. Ren, and T. Liu, \u201cTruth discovery with memory network,\u201d Tsinghua Science and Technology, vol.22, no.6, pp.609-618, 2017. 10.23919\/tst.2017.8195344","DOI":"10.23919\/TST.2017.8195344"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] G. Zhou, S. Lai, K. Liu, and J. Zhao, \u201cTopic-sensitive probabilistic model for expert fnding in question answer communities,\u201d CIKM, pp.1662-1666, 2012. 10.1145\/2396761.2398493","DOI":"10.1145\/2396761.2398493"},{"key":"6","unstructured":"[6] T.M. Lai, T. Bui, and S. Li, \u201cA review on deep learning techniques applied to answer selection,\u201d International Conference on Computational Linguistics, pp.2132-2144, 2018."},{"key":"7","unstructured":"[7] B. Steven, K. Ewan, and L. Edward, Natural Language Processing with Python, O'Reilly, 2010."},{"key":"8","unstructured":"[8] X. Hu and X. Huang, \u201cSolving 0-1 knapsack problem based on ant colony optimazation algorithm,\u201d Journal of Systems Engineering, vol.20, no.5, pp.520-523, 2005."},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] M. Mohler and R. Mihalcea, \u201cText-to-text semantic similarity for automatic short answer grading,\u201d Proceedings of the Conference of the European Association of Computational Linguistics, pp.567-575, Athens, Greece, 2009. 10.3115\/1609067.1609130","DOI":"10.3115\/1609067.1609130"},{"key":"10","unstructured":"[10] D.M. Blei, A.Y. Ng, and M.I. Jordan, \u201cLatent Dirichlet allocation,\u201d Journal of Machine Learning Research, vol.3, pp.993-1022, 2012."},{"key":"11","unstructured":"[11] T. Mikolov, I. Sutskever, K. Chen, G. Corrado, and J. Dean, \u201cDistributed representations ofwords and phrases and their compositionality,\u201d Advances in Neural Information Processing Systems, vol.26, pp.3111-3119, 2013."},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] K.-T. Fang, D.K.J. Lin, P. Winker, and Y. Zhang, \u201cUniform design: Theory and application,\u201d Techonometrics, vol.42, no.3, pp.237-248, 2000. 10.2307\/1271079","DOI":"10.2307\/1271079"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E102.D\/11\/E102.D_2018EDL8267\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T23:29:22Z","timestamp":1572650962000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E102.D\/11\/E102.D_2018EDL8267\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,1]]},"references-count":12,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2019]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2018edl8267","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,1]]}}}