{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T03:45:28Z","timestamp":1768016728424,"version":"3.49.0"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61906039"],"award-info":[{"award-number":["61906039"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tkde.2022.3159539","type":"journal-article","created":{"date-parts":[[2022,3,16]],"date-time":"2022-03-16T19:45:09Z","timestamp":1647459909000},"page":"1-1","source":"Crossref","is-referenced-by-count":8,"title":["A knowledge-enriched ensemble method for word embedding and multi-sense embedding"],"prefix":"10.1109","author":[{"given":"Lanting","family":"Fang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaiyu","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaiqi","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aiqun","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"ref57","first-page":"873","article-title":"Improving word representations via global context and multiple word prototypes","author":"huang","year":"2012","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1184"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1237"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2012.07.001"},{"key":"ref59","first-page":"290","article-title":"Semeval-2013 task 13: Word sense induction for graded and non-graded senses","author":"jurgens","year":"2013","journal-title":"Proc 2nd Joint Conf Lexical Comput Semantics"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1054"},{"key":"ref53","article-title":"Semeval-2017 task 3: Community question answering","author":"nakov","year":"2019"},{"key":"ref52","first-page":"410","article-title":"V-Measure: A conditional entropy-based external cluster evaluation measure","author":"rosenberg","year":"2007","journal-title":"Proc Joint Conf Empirical Methods Natural Lang Process Comput Natural Lang Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2662038"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983818"},{"key":"ref10","article-title":"Linear ensembles of word embedding models","author":"murom\u00e4gi","year":"2017"},{"key":"ref54","article-title":"A dual embedding space model for document ranking","author":"mitra","year":"2016"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10324"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313425"},{"key":"ref19","first-page":"4929","article-title":"Incorporating extra knowledge to enhance word embedding","author":"roy","year":"2021","journal-title":"Proc 29th Int Joint Conf Artif Intell"},{"key":"ref18","article-title":"Compressing large-scale transformer-based models: A case study on BERT","author":"ganesh","year":"2020"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367510"},{"key":"ref50","author":"well","year":"2003","journal-title":"Research Design & Statistical Analysis"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372094"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-1618"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1080\/01690969108406936"},{"key":"ref47","first-page":"104","article-title":"Better word representations with recursive neural networks for morphology","author":"luong","year":"2013","journal-title":"Proc 17th Conf Comput Natural Lang Learn"},{"key":"ref42","article-title":"The expressive power of word embeddings","author":"chen","year":"2013"},{"key":"ref41","first-page":"1025","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Proc 31st Int Conf Neural Informat Process Syst"},{"key":"ref44","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1173"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1613\/jair.4135"},{"key":"ref8","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"radford","year":"2019","journal-title":"OpenAIRE blog"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.135"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860445"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref5","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013"},{"key":"ref40","first-page":"4563","article-title":"Adaptive sampling towards fast graph representation learning","author":"huang","year":"2018","journal-title":"Proc 32nd Int Conf Neural Informat Process Syst"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/TNN.2008.2005605","article-title":"The graph neural network model","volume":"20","author":"scarselli","year":"2009","journal-title":"IEEE Trans Neural Netw"},{"key":"ref34","first-page":"809","article-title":"A three-way model for collective learning on multi-relational data","author":"nickel","year":"2011","journal-title":"Proc 28th Int Conf Int Conf Mach Learn"},{"key":"ref37","article-title":"Graph neural networks: A review of methods and applications","author":"zhou","year":"2018"},{"key":"ref36","volume":"53","author":"khamsi","year":"2011","journal-title":"An Introduction to Metric Spaces and Fixed Point Theory"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1149"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1070"},{"key":"ref33","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data","author":"bordes","year":"2013","journal-title":"Proc 26th Int Conf Adv Neural Informat Process Syst"},{"key":"ref32","first-page":"1662","article-title":"GenSense: A generalized sense retrofitting model","author":"lee","year":"2018","journal-title":"Proc 27th Int Conf Comput Linguistics"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W15-1509"},{"key":"ref1","first-page":"455","article-title":"Parsing with compositional vector grammars","author":"socher","year":"2013","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref39","article-title":"Gated graph sequence neural networks","author":"li","year":"2015"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1488"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2089"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1128"},{"key":"ref26","first-page":"1602","article-title":"Multi-relational latent semantic analysis","author":"chang","year":"2013","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref25","first-page":"758","article-title":"PPDB: The paraphrase database","author":"ganitkevitch","year":"2013","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401075"},{"key":"ref22","article-title":"Embedding word similarity with neural machine translation","author":"hill","year":"2014"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8956"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1113"},{"key":"ref27","first-page":"109","article-title":"Multi-prototype vector-space models of word meaning","author":"reisinger","year":"2010","journal-title":"Proc Annu Conf North Amer Chapter Assoc Comput Linguistics"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1570"},{"key":"ref60","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","author":"macqueen","year":"1967","journal-title":"Proc 5th Berkeley Symp Math Statist Probability"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/09736679.pdf?arnumber=9736679","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T23:43:28Z","timestamp":1682984608000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9736679\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/tkde.2022.3159539","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}