{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T02:14:09Z","timestamp":1724379249665},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s10115-022-01703-7","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T21:02:31Z","timestamp":1656536551000},"page":"2189-2213","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["BertHANK: hierarchical attention networks with enhanced knowledge and pre-trained model for answer selection"],"prefix":"10.1007","volume":"64","author":[{"given":"Haitian","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Degang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiqing","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,29]]},"reference":[{"issue":"8","key":"1703_CR1","first-page":"2107","volume":"27","author":"L Nie","year":"2015","unstructured":"Nie L, Wang M, Zhang L, Yan S, Zhang B, Chua TS (2015) Disease inference from health-related questions via sparse deep learning. TKDE 27(8):2107\u20132119","journal-title":"TKDE"},{"key":"1703_CR2","first-page":"4470","volume":"2","author":"S Yuan","year":"2019","unstructured":"Yuan S, Zhang Y, Tang J, Hall W, Cabot JB (2019) Expert finding in community question answering: a review. Artif Intell Rev 2:4470","journal-title":"Artif Intell Rev"},{"key":"1703_CR3","doi-asserted-by":"crossref","unstructured":"Nie L,\u00a0Wei X,\u00a0Zhang D,\u00a0Wang X,\u00a0Gao Z,\u00a0Yang Y (2017) Data-driven answer selection in community qa systems. In: IEEE transactions on knowledge and data engineering, pp 1186\u20131198","DOI":"10.1109\/TKDE.2017.2669982"},{"key":"1703_CR4","doi-asserted-by":"crossref","unstructured":"Tymoshenko K, Moschitti A (2015) Assessing the impact of syntactic and semantic structures for answer passages reranking. In: 24th ACM international on conference on information and knowledge management, pp 1451\u20131460","DOI":"10.1145\/2806416.2806490"},{"key":"1703_CR5","unstructured":"Yih SWT, Chang M-W, Meek C, Pastusiak A (2013) Question answering using enhanced lexical semantic models. In: 51st annual meeting of the association for computational linguistics (ACL), pp 1744\u20131753"},{"key":"1703_CR6","doi-asserted-by":"crossref","unstructured":"Cao X, Cong G, Cui B, Jensen CS (2010) A generalized framework of exploring category information for question retrieval in community question answer archives. In: 19th international conference on World wide web. ACM, pp 201\u2013210","DOI":"10.1145\/1772690.1772712"},{"key":"1703_CR7","doi-asserted-by":"crossref","unstructured":"Cao X, Cong G, Cui B, Jensen CS, Zhang C (2009) The use of categorization information in language models for question retrieval. In: 18th ACM conference on information and knowledge management, pp 265\u2013274","DOI":"10.1145\/1645953.1645989"},{"key":"1703_CR8","unstructured":"Duan H, Cao Y, Lin C-Y, Yu Y (2008) Searching questions by identifying question topic and question focus. In: ACL-08: HLT, pp 156\u2013164"},{"key":"1703_CR9","doi-asserted-by":"crossref","unstructured":"Jeon J, Croft WB, Lee JH (2005) Finding semantically similar questions based on their answers. In: SIGIR. ACM, pp 617\u2013618","DOI":"10.1145\/1076034.1076156"},{"key":"1703_CR10","doi-asserted-by":"crossref","unstructured":"Jeon J, Croft WB, Lee JH (2005) Finding similar questions in large question and answer archives. In: 14th ACM international conference on Information and knowledge management, pp 84\u201390","DOI":"10.1145\/1099554.1099572"},{"issue":"4","key":"1703_CR11","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1109\/LSP.2017.2673123","volume":"24","author":"Y Xiang","year":"2017","unstructured":"Xiang Y, Chen Q, Wang X, Qin Y (2017) Answer selection in community question answering via attentive neural networks. IEEE Signal Process Lett 24(4):505\u2013509","journal-title":"IEEE Signal Process Lett"},{"key":"1703_CR12","unstructured":"Xiang Y,\u00a0Zhou X,\u00a0Chen Q,\u00a0Zheng Z,\u00a0Tang B,\u00a0Wang X,\u00a0Qin Y (2016) Incorporating label dependency for answer quality tagging in community question answering via cnn-lstm-crf. In: 26th international conference on computational linguistics, pp 1231\u20131241"},{"key":"1703_CR13","unstructured":"Tan M,\u00a0dos Santos C,\u00a0Xiang B,\u00a0Zhou B (2015) Lstm-based deep learning models for non-factoid answer selection. arXiv:1511.04108"},{"key":"1703_CR14","unstructured":"Tau YW, Ming-Wei C, Christopher M, Andrzej P (2013) Question answering using enhanced lexical semantic models. In: Annual meeting of the association for computational linguistics"},{"key":"1703_CR15","first-page":"447","volume":"2","author":"E Riloff","year":"2012","unstructured":"Riloff E, Thelen M (2012) A rule-based question answering system for reading comprehension tests. Science 2:447","journal-title":"Science"},{"key":"1703_CR16","first-page":"1744","volume":"2","author":"WT Yih","year":"2013","unstructured":"Yih WT, Chang MW, Meek C, Pastusiak A (2013) Question answering using enhanced lexical semantic models. Meeting Assoc Comput Linguist 2:1744\u20131753","journal-title":"Meeting Assoc Comput Linguist"},{"key":"1703_CR17","first-page":"1164","volume":"5","author":"M Wang","year":"2010","unstructured":"Wang M, Manning CD (2010) Probabilistic tree-edit models with structured latent variables for textual entailment and question answering. Int Conf Comput Linguist 5:1164\u20131172","journal-title":"Int Conf Comput Linguist"},{"key":"1703_CR18","unstructured":"Wang M, Smith NA, Mitamura T (2007) What is the jeopardy model? a quasisynchronous grammar for qa. In: EMNLP-CoNLL"},{"key":"1703_CR19","doi-asserted-by":"crossref","unstructured":"Smith DA, Eisner J (2006) Quasi-synchronous grammars: alignment by soft projection of syntactic dependencies. In: Workshop on statistical machine translation","DOI":"10.3115\/1654650.1654655"},{"key":"1703_CR20","unstructured":"Heilman M, Smith NA (2010) Tree edit models for recognizing textual entailments, paraphrases, and answers to questions. In: NAACL"},{"key":"1703_CR21","unstructured":"Yao X,\u00a0Van Durme B, Clark P (2013) Answer extraction as sequence tagging with tree edit distance. In: NAACL-HLT"},{"key":"1703_CR22","doi-asserted-by":"crossref","unstructured":"Feng M,\u00a0Xiang B, Glass MR,\u00a0Wang L,\u00a0Zhou B (2015) Applying deep learning to answer selection: A study and an open task. page 813\u2013820. In: IEEE workshop on automatic speech recognition and understanding (ASRU)","DOI":"10.1109\/ASRU.2015.7404872"},{"issue":"2","key":"1703_CR23","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1162\/COLI_a_00051","volume":"37","author":"M Surdeanu","year":"2011","unstructured":"Surdeanu M, Ciaramita M, Zaragoza H (2011) Learning to rank answers to non-factoid questions from web collections. Comput Linguist 37(2):351\u2013383","journal-title":"Comput Linguist"},{"issue":"4","key":"1703_CR24","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1561\/1500000019","volume":"3","author":"S Robertson","year":"2009","unstructured":"Robertson S, Zaragoza H et al (2009) The probabilistic relevance framework: Bm25 and beyond. Found Trends Inf Retr 3(4):333\u2013389","journal-title":"Found Trends Inf Retr"},{"key":"1703_CR25","unstructured":"Chao L (2016) Research and application on intelligent disease guidance and medical question answering method. MSc. thesis, Dalian University of Technology"},{"key":"1703_CR26","first-page":"11554","volume":"2","author":"MR Textrank","year":"2004","unstructured":"Textrank MR (2004) Bringing order into text. 2004 conference on empirical methods in natural language processing. Science 2:11554","journal-title":"Science"},{"issue":"6","key":"1703_CR27","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1016\/j.ipm.2010.06.002","volume":"47","author":"A Moschitti","year":"2011","unstructured":"Moschitti A, Quarteroni S (2011) Linguistic kernels for answer re-ranking in question answering systems. Inf Process Manag 47(6):825\u2013842","journal-title":"Inf Process Manag"},{"key":"1703_CR28","unstructured":"Yu L, Hermann KM,\u00a0Blunsom P,\u00a0Pulman S (2014) Deep learning for answer sentence selection. CoRR arXiv:1412.1632"},{"key":"1703_CR29","doi-asserted-by":"crossref","unstructured":"Kim Y (2014) Convolutional neural networks for sentence classification. In: Conference on empirical methods in natural language processing (EMNLP). Association for Computational Linguistics, Doha, Qatar, pp 1746\u20131751","DOI":"10.3115\/v1\/D14-1181"},{"key":"1703_CR30","first-page":"373","volume":"5","author":"A Severyn","year":"2015","unstructured":"Severyn A, Moschitti A (2015) Learning to rank short text pairs with convolutional deep neural networks. Int ACM SIGIR Conf 5:373\u2013382","journal-title":"Int ACM SIGIR Conf"},{"key":"1703_CR31","doi-asserted-by":"crossref","unstructured":"Feng M et al (2015) Applying deep learning to answer selection: a study and an open task. In: IEEE workshop on automatic speech recognition and understanding, ASRU","DOI":"10.1109\/ASRU.2015.7404872"},{"key":"1703_CR32","doi-asserted-by":"crossref","unstructured":"Tymoshenko K, Bonadiman D, Moschitti A (2016) Convolutional neural networks vs. convolution kernels: feature engineering for answer sentence reranking. In: 2016 conference of the North American chapter of the association for computational linguistics: human language technologies, pp 1268\u20131278","DOI":"10.18653\/v1\/N16-1152"},{"key":"1703_CR33","first-page":"707","volume":"3","author":"D Wang","year":"2015","unstructured":"Wang D, Nyberg E (2015) A long short-term memory model for answer sentence selection in question answering. Int Joint Conf Nat Lang Process Meeting Assoc Comput Linguist 3:707\u2013712","journal-title":"Int Joint Conf Nat Lang Process Meeting Assoc Comput Linguist"},{"issue":"5","key":"1703_CR34","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"JH Friedman","year":"2001","unstructured":"Friedman JH (2001) Greedy function approximation: a gradient boosting machine. Ann Stat 29(5):1189\u20131232","journal-title":"Ann Stat"},{"issue":"5\u20136","key":"1703_CR35","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.neunet.2005.06.042","volume":"18","author":"A Graves","year":"2005","unstructured":"Graves A, Schmidhuber J (2005) Framewise phoneme classification with bidirectional lstm and other neural network architectures. Neural Netw 18(5\u20136):602\u2013610","journal-title":"Neural Netw"},{"key":"1703_CR36","doi-asserted-by":"crossref","unstructured":"Tan M, Xiang B, Dos Santos C, Zhou B (2016) Improved representation learning for question answer matching. In: 54th annual meeting of the association for computational linguistics, pp 464\u2013473","DOI":"10.18653\/v1\/P16-1044"},{"key":"1703_CR37","unstructured":"Yin W, Yu M, Xiang B, Zhou B, Schtze H (2016) Simple question answering by attentive convolutional neural network. arXiv preprint arXiv:1606.03391"},{"key":"1703_CR38","unstructured":"Bahdanau D, Cho K, Bengio Y (2015) Neural machine translation by jointly learning to align and translate. In: International conference on learning representations"},{"key":"1703_CR39","doi-asserted-by":"crossref","unstructured":"Zhang X, Li S, Sha L, Wang H (2017) Attentive interactive neural networks for answer selection in community question answering. In: 31st AAAI conference on artificial intelligence, pp 3525\u20133531","DOI":"10.1609\/aaai.v31i1.11006"},{"key":"1703_CR40","unstructured":"Wang S,\u00a0Jiang J (2017) A compare-aggregate model for matching text sequences. In: International conference on learning representations"},{"key":"1703_CR41","unstructured":"Tan M, Xiang B, Zhou B (2015) Lstm based deep learning models for non-factoid answer selection. arXiv preprint arXiv:1511.04108"},{"key":"1703_CR42","doi-asserted-by":"crossref","unstructured":"Tran NK, Niedere\u00e9e C (2018) Multihop attention networks for question answer matching. In: International ACM SIGIR conference on research and development in information retrieval","DOI":"10.1145\/3209978.3210009"},{"key":"1703_CR43","doi-asserted-by":"crossref","unstructured":"Zhang X, Li S, Sha L, Wang H (2017) Attentive interactive neural networks for answer selection in community question answering. In: 31st AAAI conference on artificial intelligence, pp 3525\u20133531","DOI":"10.1609\/aaai.v31i1.11006"},{"key":"1703_CR44","unstructured":"Weston J, Chopra S, Bordes A (2014) Memory networks. arXiv preprint arXiv:1410.3916"},{"key":"1703_CR45","first-page":"6318","volume":"33","author":"Y Deng","year":"2019","unstructured":"Deng Y, Xie Y, Li Y, Yang M, Nan D, Fan W, Lei K, Shen Y (2019) Multi-task learning with multi-view attention for answer selection and knowledge base question answering. Proc AAAI Conf Artif Intell 33:6318\u20136325","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"1703_CR46","doi-asserted-by":"crossref","unstructured":"Savenkov D, Agichtein E (2017) Evinets: neural networks for combining evidence signals for factoid question answering. In: Proceedings of the 55th annual meeting of the association for computational linguistics (vol 2: Short Papers), pp 299\u2013304","DOI":"10.18653\/v1\/P17-2047"},{"issue":"1","key":"1703_CR47","first-page":"4478","volume":"40","author":"Y Deng","year":"2021","unstructured":"Deng Y, Xie Y, Li Y, Yang M, Lam W, Shen Y (2021) Contextualized knowledge-aware attentive neural network: enhancing answer selection with knowledge. ACM Trans Inf Syst 40(1):4478","journal-title":"ACM Trans Inf Syst"},{"key":"1703_CR48","unstructured":"Bordes A, Usunier N, Garcia-Dur\u00e1n A, Weston J, Yakhnenko O (2013) Translating embeddings for modeling multi-relational data. In: Proceedings of the 26th international conference on neural information processing systems-vol 2, NIPS\u201913, pp 2787\u20132795"},{"key":"1703_CR49","unstructured":"Devlin J, Chang M-W, Lee K, Toutanova K (2019) Bert: pre-training of deep bidirectional transformers for language understanding. In: NAACL, pp 4171\u20134186"},{"key":"1703_CR50","unstructured":"Yu AW, Dohan D, Le Q,\u00a0Luong T et\u00a0al. (2018) Fast and accurate reading comprehension by combining self-attention and convolution. In: International conference on learning representations"},{"key":"1703_CR51","unstructured":"Lin Z, Feng M, dos Santos CN,\u00a0Yu M, Xiang B, Zhou B, Bengio Y (2017) A structured self-attentive sentence embedding. In: International conference on learning representations"},{"key":"1703_CR52","unstructured":"Zhu M, Ahuja A, Wei W, Reddy CK (2010) A hierarchical attention retrieval model for healthcare question answering. In: World Wide Web conference, pp 2472\u20132482"},{"key":"1703_CR53","doi-asserted-by":"crossref","unstructured":"Tran QH, Tran D-V,\u00a0Vu T, Nguyen ML, Pham SB (2015) Jaist: combining multiple features for answer selection in community question answering. In: 9th international workshop on semantic evaluation (SemEval2015), pp 215\u2013219","DOI":"10.18653\/v1\/S15-2038"},{"key":"1703_CR54","doi-asserted-by":"crossref","unstructured":"Hou Y, Tan C, Wang X, Zhang Y, Xu J, Chen Q (2015) Hitsz-icrc: exploiting classification approach for answer selection in community question answering. In: 9th international workshop on semantic evaluation (SemEval 2015), pp 196\u2013202","DOI":"10.18653\/v1\/S15-2035"},{"key":"1703_CR55","doi-asserted-by":"crossref","unstructured":"Joty S, Barr\u00f3n-Cede\u00f1o A, Da\u00a0San Martino G, Filice S, M\u00e0rquez L, Moschitti A, Nakov P (2015) Global thread-level inference for comment classification in community question answering. In: EMNLP, pp 573\u2013578","DOI":"10.18653\/v1\/D15-1068"},{"key":"1703_CR56","doi-asserted-by":"crossref","unstructured":"Joty S, M\u00e0rquez L, Nakov P (2016) Joint learning with global inference for comment classification in community question answering. In: 2016 conference of the North American chapter of the association for computational lin-guistics: human language technologies, pp 703\u2013713","DOI":"10.18653\/v1\/N16-1084"},{"key":"1703_CR57","doi-asserted-by":"crossref","unstructured":"Wu W, Wang H, Li S (2017) Bi-directional gated memory networks for answer selection. In: Chinese computational linguistics and natural language processing based on naturally annotated big data, pp 251\u2013262","DOI":"10.1007\/978-3-319-69005-6_21"},{"key":"1703_CR58","doi-asserted-by":"crossref","unstructured":"Wu G, Sheng Y, Lan M, Wu Y (2017) Ecnu at semeval-2017 task 3: using traditional and deep learning methods to address community question answer-ing task. In 11th international workshop on semantic evaluation (SemEval-2017), pp 365\u2013369","DOI":"10.18653\/v1\/S17-2060"},{"key":"1703_CR59","unstructured":"Xiang Y, Zhou X,\u00a0Chen Q et\u00a0al. (2016) Incorporating label dependency for answer quality tagging in community question answering via cnn-lstm-crf. In: COLING 2016, 26th international conference on computational linguistics, pp 1231\u20131241"},{"key":"1703_CR60","doi-asserted-by":"crossref","unstructured":"Wu\u00a0W, Sun X, Wang\u00a0H et\u00a0al. (2018) Question condensing networks for answer selection in community question answering. In: Association for computational linguistics, pp 1746\u20131755","DOI":"10.18653\/v1\/P18-1162"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-022-01703-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10115-022-01703-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-022-01703-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,6]],"date-time":"2022-08-06T03:19:38Z","timestamp":1659755978000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10115-022-01703-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"references-count":60,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["1703"],"URL":"https:\/\/doi.org\/10.1007\/s10115-022-01703-7","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,29]]},"assertion":[{"value":"16 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 May 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 May 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}