{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:20:59Z","timestamp":1740108059691,"version":"3.37.3"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"17","license":[{"start":{"date-parts":[[2021,1,15]],"date-time":"2021-01-15T00:00:00Z","timestamp":1610668800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,15]],"date-time":"2021-01-15T00:00:00Z","timestamp":1610668800000},"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":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1007\/s00521-020-05642-8","type":"journal-article","created":{"date-parts":[[2021,1,15]],"date-time":"2021-01-15T20:36:04Z","timestamp":1610742964000},"page":"11325-11337","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["ESRE: handling repeated entities in distant supervised relation extraction"],"prefix":"10.1007","volume":"33","author":[{"given":"Xin","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7902-0837","authenticated-orcid":false,"given":"Jinghu","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuming","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,15]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Agichtein E, Gravano L (2000) Snowball: extracting relations from large plain-text collections. In: Proceedings of the fifth ACM conference on digital libraries. ACM, New York, pp 85\u201394","key":"5642_CR1","DOI":"10.1145\/336597.336644"},{"doi-asserted-by":"crossref","unstructured":"Bollacker K, Evans C, Paritosh P, Sturge T, Taylor J, (2008) Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD international conference on Management of data. ACM, pp 1247\u20131250","key":"5642_CR2","DOI":"10.1145\/1376616.1376746"},{"unstructured":"Brin S (1998) Extracting patterns and relations from the world wide web. In: International workshop on the world wide web and databases. Springer, Berlin, pp 172\u2013183","key":"5642_CR3"},{"doi-asserted-by":"crossref","unstructured":"Culotta A, Sorensen JS (2004) Dependency tree kernels for relation extraction. In: Meeting on association for computational linguistics","key":"5642_CR4","DOI":"10.3115\/1218955.1219009"},{"doi-asserted-by":"crossref","unstructured":"Dietterich TG (2000) Ensemble methods in machine learning. In: International workshop on multiple classifier systems. Springer, Berlin, pp 1\u201315","key":"5642_CR5","DOI":"10.1007\/3-540-45014-9_1"},{"doi-asserted-by":"crossref","unstructured":"Feng J, Huang M, Zhao L, Yang Y, Zhu X (2018) Reinforcement learning for relation classification from noisy data. In: Proceedings of AAAI","key":"5642_CR6","DOI":"10.1609\/aaai.v32i1.12063"},{"unstructured":"Hoffmann R, Zhang C, Ling X, Zettlemoyer LS, Weld DS (2011) Knowledge-based weak supervision for information extraction of overlapping relations. In: Meeting of the association for computational linguistics: human language technologies","key":"5642_CR7"},{"doi-asserted-by":"crossref","unstructured":"Ji G, Liu K, He S, Zhao J et al (2017) Distant supervision for relation extraction with sentence-level attention and entity descriptions. In: AAAI, pp 3060\u20133066","key":"5642_CR8","DOI":"10.1609\/aaai.v31i1.10953"},{"doi-asserted-by":"crossref","unstructured":"Kim Y (2014) Convolutional neural networks for sentence classification, pp 1746\u20131751","key":"5642_CR9","DOI":"10.3115\/v1\/D14-1181"},{"doi-asserted-by":"crossref","unstructured":"Lin Y, Shen S, Liu Z, Luan H, Sun M (2016) Neural relation extraction with selective attention over instances. In: Proceedings of the 54th annual meeting of the association for computational linguistics (volume 1: Long Papers), pp 2124\u20132133","key":"5642_CR10","DOI":"10.18653\/v1\/P16-1200"},{"unstructured":"Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. Comput Sci","key":"5642_CR11"},{"doi-asserted-by":"crossref","unstructured":"Mintz M, Bills S, Snow R, Jurafsky D (2009) Distant supervision for relation extraction without labeled data. In: 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: volume 2\u2013volume 2. Association for Computational Linguistics, pp 1003\u20131011","key":"5642_CR12","DOI":"10.3115\/1690219.1690287"},{"doi-asserted-by":"crossref","unstructured":"Miwa M, Bansal M (2016) End-to-end relation extraction using lstms on sequences and tree structures. arXiv:1601.00770","key":"5642_CR13","DOI":"10.18653\/v1\/P16-1105"},{"doi-asserted-by":"crossref","unstructured":"Qin P, Xu W, Wang WY (2018) Robust distant supervision relation extraction via deep reinforcement learning. In:\u00a0Proceedings of the 56th annual meeting of the association for computational linguistics (volume 1: long papers), pp 2137\u20132147","key":"5642_CR14","DOI":"10.18653\/v1\/P18-1199"},{"doi-asserted-by":"crossref","unstructured":"Riedel S, Yao L, McCallum A (2010) Modeling relations and their mentions without labeled text. In: Joint European conference on machine learning and knowledge discovery in databases. Springer, Berlin, pp 148\u2013163","key":"5642_CR15","DOI":"10.1007\/978-3-642-15939-8_10"},{"key":"5642_CR16","first-page":"3856","volume":"30","author":"S Sabour","year":"2017","unstructured":"Sabour S, Frosst N, Hinton GE (2017) Dynamic routing between capsules. Adv Neural Inf Process Syst 30:3856\u20133866","journal-title":"Adv Neural Inf Process Syst"},{"doi-asserted-by":"crossref","unstructured":"Sadeghi F, Kumar Divvala SK, Farhadi A (2015) Viske: visual knowledge extraction and question answering by visual verification of relation phrases. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1456\u20131464","key":"5642_CR17","DOI":"10.1109\/CVPR.2015.7298752"},{"key":"5642_CR18","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1109\/TIT.1980.1056144","volume":"26","author":"J Shore","year":"1980","unstructured":"Shore J, Johnson R (1980) Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy. IEEE Trans Inf Theory 26:26\u201337","journal-title":"IEEE Trans Inf Theory"},{"doi-asserted-by":"crossref","unstructured":"Su S, Jia N, Cheng X , Zhu S, Li R (2018) Exploring encoder-decoder model for distant supervised relation extraction. In: IJCAI, pp 4389\u20134395","key":"5642_CR19","DOI":"10.24963\/ijcai.2018\/610"},{"unstructured":"Surdeanu M, Tibshirani J, Nallapati R, Manning CD (2012) Multi-instance multi-label learning for relation extraction. In: Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning. Association for Computational Linguistics, pp 455\u2013465","key":"5642_CR20"},{"doi-asserted-by":"crossref","unstructured":"Yan Y, Okazaki N, Matsuo Y, Yang Z, Ishizuka M (2009) Unsupervised relation extraction by mining wikipedia texts using information from the web. In: 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: volume 2\u2013volume 2. Association for Computational Linguistics, pp 1021\u20131029","key":"5642_CR21","DOI":"10.3115\/1690219.1690289"},{"unstructured":"Ye ZX, Ling ZH (2019) Distant supervision relation extraction with intra-bag and inter-bag attentions. In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers). Association for Computational Linguistics, Minneapolis, pp 2810\u20132819","key":"5642_CR22"},{"doi-asserted-by":"crossref","unstructured":"Yuan C, Huang H, Feng C, Liu X, Wei X (2019a) Distant supervision for relation extraction with linear attenuation simulation and non\u2013iid relevance embedding. In: National conference on artificial intelligence","key":"5642_CR23","DOI":"10.1609\/aaai.v33i01.33017418"},{"doi-asserted-by":"crossref","unstructured":"Yuan Y, Liu L, Tang S, Zhang Z, Zhuang Y, Pu S, Wu F, Ren X (2019b) Cross-relation cross-bag attention for distantly-supervised relation extraction. In: Proceedings of the AAAI conference on artificial intelligence, pp 419\u2013426","key":"5642_CR24","DOI":"10.1609\/aaai.v33i01.3301419"},{"doi-asserted-by":"crossref","unstructured":"Zeng D, Liu K, Chen Y, Zhao J (2015) Distant supervision for relation extraction via piecewise convolutional neural networks. In: Proceedings of the 2015 conference on empirical methods in natural language processing, pp 1753\u20131762","key":"5642_CR25","DOI":"10.18653\/v1\/D15-1203"},{"unstructured":"Zeng D, Liu K, Lai S, Zhou G, Zhao J (2014) Relation classification via convolutional deep neural network. In: Proceedings of COLING 2014, the 25th international conference on computational linguistics: technical papers, pp 2335\u20132344","key":"5642_CR26"},{"unstructured":"Zhou G, Su J, Zhang J, Zhang M (2002) Exploring various knowledge in relation extraction. In: ACL, meeting of the association for computational linguistics, conference, June, University of Michigan, USA","key":"5642_CR27"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05642-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-05642-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05642-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,11]],"date-time":"2022-12-11T21:37:25Z","timestamp":1670794645000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-05642-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,15]]},"references-count":27,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2021,9]]}},"alternative-id":["5642"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-05642-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2021,1,15]]},"assertion":[{"value":"17 February 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 December 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"The authors have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}