{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T01:44:00Z","timestamp":1725673440922},"reference-count":32,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/icpr.2018.8546096","type":"proceedings-article","created":{"date-parts":[[2018,11,29]],"date-time":"2018-11-29T19:17:38Z","timestamp":1543519058000},"page":"379-384","source":"Crossref","is-referenced-by-count":1,"title":["Joint Knowledge Base Embedding with Neighborhood Context"],"prefix":"10.1109","author":[{"given":"Binling","family":"Nie","sequence":"first","affiliation":[]},{"given":"Shouqian","family":"Sun","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806502"},{"key":"ref31","first-page":"3111","article-title":"Dis-tributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"NIPS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref10","first-page":"1821","article-title":"Modelling relational data using bayesian clustered tensor factorization","author":"sutskever","year":"2009","journal-title":"NIPS"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1609\/aaai.v25i1.7917","article-title":"Learning structured embeddings of knowledge bases","author":"bordes","year":"2011","journal-title":"AAAI"},{"key":"ref12","first-page":"809","article-title":"A three-way model for collective learning on multi-relational data","author":"nickel","year":"2011","journal-title":"ICML"},{"key":"ref13","first-page":"926","article-title":"Reasoning with neural tensor networks for knowledge base completion","author":"socher","year":"2013","journal-title":"NIPS"},{"key":"ref14","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data","author":"bordes","year":"2013","journal-title":"NIPS"},{"key":"ref15","first-page":"1112","article-title":"Factorizing yago: scalable machine learning for linked data","author":"wang","year":"2014","journal-title":"AAAI"},{"key":"ref16","first-page":"2181","article-title":"Learning entity and relation embeddings for knowledge graph completion","author":"lin","year":"2015","journal-title":"AAAI"},{"journal-title":"Efficient Estimation of Word Representations in Vector Space","year":"2013","author":"mikolov","key":"ref17"},{"key":"ref18","first-page":"127","article-title":"Joint learning of words and meaning representations for open-text semantic parsing","author":"bordes","year":"2012","journal-title":"AISTATS"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-013-5363-6"},{"key":"ref28","first-page":"1859","article-title":"Knowledge base completion using embeddings and rules","author":"wang","year":"2015","journal-title":"ICAIL"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783273"},{"key":"ref27","first-page":"1293","article-title":"Text-enhanced representation learning for knowledge graph","author":"wang","year":"2016","journal-title":"IlCAI"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871445"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1067"},{"key":"ref29","first-page":"641","article-title":"GAKE: graph aware knowledge embedding","author":"feng","year":"2016","journal-title":"COLING"},{"key":"ref5","first-page":"1107","article-title":"Robust question answering over the web of linked data","author":"yahya","year":"2013","journal-title":"CIKM"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487686"},{"key":"ref9","first-page":"3167","article-title":"A latent factor model for highly multi-relational data","author":"jenatton","year":"2012","journal-title":"NIPS"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(85)90045-1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187874"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1082"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1136"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1038"},{"key":"ref26","first-page":"2659","article-title":"Representation learning of knowledge graphs with entity descriptions","author":"xie","year":"2016","journal-title":"AAAI"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1167"}],"event":{"name":"2018 24th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2018,8,20]]},"location":"Beijing","end":{"date-parts":[[2018,8,24]]}},"container-title":["2018 24th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8527858\/8545020\/08546096.pdf?arnumber=8546096","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T15:05:09Z","timestamp":1694099109000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8546096\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icpr.2018.8546096","relation":{},"subject":[],"published":{"date-parts":[[2018,8]]}}}