{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T04:41:36Z","timestamp":1764996096729,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319461274"},{"type":"electronic","value":"9783319461281"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46128-1_28","type":"book-chapter","created":{"date-parts":[[2016,9,3]],"date-time":"2016-09-03T05:34:23Z","timestamp":1472880863000},"page":"443-458","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Joint Learning of Entity Semantics and Relation Pattern for Relation Extraction"],"prefix":"10.1007","author":[{"given":"Suncong","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaming","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyun","family":"Bao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenyu","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongwei","family":"Hao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,4]]},"reference":[{"key":"28_CR1","unstructured":"Rink, B., et al.: UTD: Classifying semantic relations by combining lexical and semantic resources. In: 5th SE, pp. 256\u2013259 (2010)"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Kambhatla, N.: Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations. In: 43th ACL, pp. 22\u201326 (2004)","DOI":"10.3115\/1219044.1219066"},{"key":"28_CR3","unstructured":"Zeng, D., et al.: Relation classification via convolutional deep neural network. In: 25th COLING, pp. 2335\u20132344 (2014)"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"dos Santos, C., Nogueira, et al.: Classifying relations by ranking with convolutional neural networks. In: 53th ACL, pp. 626\u2013634 (2015)","DOI":"10.3115\/v1\/P15-1061"},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"Xu, Y., et al.: Classifying relations via long short term memory networks along shortest dependency paths. In: EMNLP (2015)","DOI":"10.18653\/v1\/D15-1206"},{"key":"28_CR6","unstructured":"Yu, M., et al.: Factor-based compositional embedding models. In: NIPS Workshop on Learning Semantics (2014)"},{"key":"28_CR7","unstructured":"Socher, R., et al.: Semantic compositionality through recursive matrix-vector spaces. In: EMNLP, pp. 1201\u20131211 (2012)"},{"key":"28_CR8","doi-asserted-by":"crossref","unstructured":"Xu, K., et al.: Semantic relation classification via convolutional neural networks with simple negative sampling. In: EMNLP (2015)","DOI":"10.18653\/v1\/D15-1062"},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Hendrickx, I., et al.: Semeval-2010 task 8: multi-way classification of semantic relations between pairs of nominals. In: SE, pp. 94\u201399 (2009)","DOI":"10.3115\/1621969.1621986"},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Sun, L., Han, X.: A Feature-Enriched Tree Kernel for Relation Extraction. In: the 52th ACL, pp. 61\u201367 (2014)","DOI":"10.3115\/v1\/P14-2011"},{"key":"28_CR11","unstructured":"Blunsom, P., et al.: A convolutional neural network for modelling sentences. In: 52th ACL, (2014)"},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: EMNLP, pp. 1746\u20131751 (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"28_CR13","unstructured":"Collobert, R., et al.: Natural language processing (almost) from scratch. In: JMLR, pp. 2493\u20132537 (2011)"},{"key":"28_CR14","unstructured":"Mikolov, T., et al.: Distributed representations of words and phrases and their compositionality. In: NIPS, pp. 3111\u20133119 (2013)"},{"key":"28_CR15","doi-asserted-by":"crossref","unstructured":"Duan, K., et al.: Multi-category classification by soft-max combination of binary classifiers. J. Multiple Classifier Syst., 125\u2013134 (2003)","DOI":"10.1007\/3-540-44938-8_13"},{"key":"28_CR16","unstructured":"Bottou, L.: Stochastic gradient learning in neural networks. J. Neuro-N\u0131mes 9 (1991)"},{"key":"28_CR17","doi-asserted-by":"crossref","unstructured":"Fu, R., et al.: Learning semantic hierarchies via word embeddings. In: 52th ACL, pp. 1199\u20131209 (2014)","DOI":"10.3115\/v1\/P14-1113"},{"key":"28_CR18","unstructured":"Wagstaff, K., et al.: Constrained k-means clustering with background knowledge. In: 18th ICML, pp. 577\u2013584 (2001)"},{"key":"28_CR19","doi-asserted-by":"crossref","unstructured":"Chen, W.-Y., et al.: Parallel spectral clustering in distributed systems. J. TPAMI, 568\u2013586 (2011)","DOI":"10.1109\/TPAMI.2010.88"},{"issue":"12","key":"28_CR20","doi-asserted-by":"crossref","first-page":"1624","DOI":"10.1109\/TKDE.2005.198","volume":"17","author":"D. Cai","year":"2005","unstructured":"Cai, D., et al.: Document clustering using locality preserving indexing. IEEE Trans. J. Knowl. Data Eng., 1624\u20131637 (2005)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"28_CR21","first-page":"2579","volume":"9","author":"L Van der Maaten","year":"2008","unstructured":"Van der Maaten, L., et al.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"28_CR22","unstructured":"Jiaming, X., Peng, W., et al.: Short text clustering via convolutional neural networks. In: The NAACL, pp. 62\u201369 (2015)"},{"issue":"4","key":"28_CR23","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/5254.708428","volume":"13","author":"M.A. Hearst","year":"1998","unstructured":"Hearst, M.A., Dumais, et al.: Support vector machines. In: IEEE Intelligent Systems and their Applications, pp. 18\u201328 (1998)","journal-title":"IEEE Intelligent Systems and their Applications"},{"issue":"3-4","key":"28_CR24","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.ecolmodel.2005.03.026","volume":"190","author":"Steven J. Phillips","year":"2006","unstructured":"Phillips, S.J., et al.: Maximum entropy modeling of species geographic distributions. In: Ecological modelling, pp. 231\u2013259 (2006)","journal-title":"Ecological Modelling"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46128-1_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,5]],"date-time":"2021-09-05T00:15:40Z","timestamp":1630800940000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-46128-1_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319461274","9783319461281"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46128-1_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"4 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Riva del Garda","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}