{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:41:40Z","timestamp":1740148900044,"version":"3.37.3"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evol. Intel."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s12065-020-00549-8","type":"journal-article","created":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:03:39Z","timestamp":1612137819000},"page":"1825-1840","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A step further towards a consensus on linking tweets to Wikipedia"],"prefix":"10.1007","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6316-0699","authenticated-orcid":false,"given":"Mohamed Cherif","family":"Nait-Hamoud","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fedoua","family":"Lahfa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdellatif","family":"Ennaji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,1]]},"reference":[{"issue":"1","key":"549_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45(1):5\u201332","journal-title":"Mach Learn"},{"key":"549_CR2","unstructured":"Chu H (2011) MDB: a memory-mapped database and backend for OpenLDAP. In: Proceedings of the 3rd international conference on LDAP. Heidelberg, pp 35\u201347"},{"key":"549_CR3","doi-asserted-by":"crossref","unstructured":"Cornolti M, Ferragina P, Ciaramita M (2013) A framework for benchmarking entity-annotation systems. In: Proceedings of the 22nd international conference on world wide web. Rio de Janeiro, pp 249\u2013259","DOI":"10.1145\/2488388.2488411"},{"key":"549_CR4","doi-asserted-by":"crossref","unstructured":"Daiber J, Jakob M, Hokamp C, Mendes PN (2013) Improving efficiency and accuracy in multilingual entity extraction. In: Proceedings of the 9th international conference on semantic systems. Graz, pp 121\u2013124","DOI":"10.1145\/2506182.2506198"},{"issue":"2","key":"549_CR5","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.ipm.2014.10.006","volume":"51","author":"L Derczynski","year":"2015","unstructured":"Derczynski L, Maynard D, Rizzo G, Van Erp M, Gorrell G, Troncy R, Petrak J, Bontcheva K (2015) Analysis of named entity recognition and linking for tweets. Inf Process Manage 51(2):32\u201349","journal-title":"Inf Process Manage"},{"issue":"3","key":"549_CR6","doi-asserted-by":"publisher","first-page":"1166","DOI":"10.1016\/j.ipm.2018.04.011","volume":"56","author":"O Serban","year":"2019","unstructured":"Serban O, Thapen N, Maginnis B, Hankin C, Foot V (2019) Real-time processing of social media with SENTINEL: a syndromic surveillance system incorporating deep learning for health classification. Inf Process Manage 56(3):1166\u20131184","journal-title":"Inf Process Manage"},{"issue":"46","key":"549_CR7","first-page":"1","volume":"8","author":"Y Feng","year":"2018","unstructured":"Feng Y, Zarrinkalam F, Bagheri E, Fani H, Al-Obeidat F (2018) Entity linking of tweets based on dominant entity candidates. Soc Netw Anal Min 8(46):1\u201316","journal-title":"Soc Netw Anal Min"},{"key":"549_CR8","doi-asserted-by":"crossref","unstructured":"Ferragina P, Scaiella U (2010) TAGME: on-the-fly annotation of short text fragments (by Wikipedia entities). In: Proceedings of the 19th ACM international conference on Information and knowledge management, Toronto, Canada, pp 1625\u20131628","DOI":"10.1145\/1871437.1871689"},{"key":"549_CR9","doi-asserted-by":"crossref","unstructured":"Finkel JR, Grenager T, Manning C (2005) Incorporating non-local information into information extraction systems by Gibbs sampling. In: Proceedings of the 43rd annual meeting of the association for computational linguistics. Ann Arbor, Michigan, USA, pp 363\u2013370","DOI":"10.3115\/1219840.1219885"},{"key":"549_CR10","doi-asserted-by":"crossref","unstructured":"Grishman R, Sundheim B (1996) Message understanding conference-6. In: Proceedings of the 16th conference on Computational linguistics, USA, pp 466\u2013471","DOI":"10.3115\/992628.992709"},{"key":"549_CR11","unstructured":"Guo S, Chang MW, Kiciman E (2013) To link or not to link? a study on end-to-end tweet entity linking. In: Proceedings of the 2013 conference of the North American chapter of the association for computational linguistics: human language technologies, Atlanta, Georgia, USA, pp 1020\u20131030"},{"key":"549_CR12","unstructured":"Habib MB, Van Keulen M (2012) Unsupervised improvement of named entity extraction in short informal context using disambiguation clues. In: Proceedings of the workshop of semantic web and information extraction, Galway City, Ireland, pp 1\u20139"},{"issue":"3","key":"549_CR13","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1017\/S1351324915000194","volume":"22","author":"MB Habib","year":"2016","unstructured":"Habib MB, Van Keulen M (2016) TwitterNEED: a hybrid approach for named entity extraction and disambiguation for tweet. Nat Lang Eng 22(3):423\u2013456","journal-title":"Nat Lang Eng"},{"key":"549_CR14","doi-asserted-by":"crossref","unstructured":"Han H, Viriyothai P, Lim SJ, Lameter D, Mussell B (2019) Yet another framework for tweet entity linking (YAFTEL). In: Proceedings of the IEEE conference on multimedia information processing and retrieval, San Jose, CA, USA, pp 258\u2013263","DOI":"10.1109\/MIPR.2019.00053"},{"issue":"3","key":"549_CR15","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1016\/j.ipm.2018.03.001","volume":"56","author":"M Hasan","year":"2019","unstructured":"Hasan M, Orgun MA, Schwitter R (2019) Real-time event detection from the Twitter data stream using the TwitterNews+ Framework. Inf Process Manage 56(3):1146\u20131165","journal-title":"Inf Process Manage"},{"key":"549_CR16","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1007\/978-3-319-30671-1_32","volume-title":"Advances in Information Retrieval, ERIC2016, LNCS","author":"F Hasibi","year":"2016","unstructured":"Hasibi F, Balog K, Bratsberg SE (2016) On the reproducibility of the TAGME entity linking system. In: Ferro N et al (eds) Advances in Information Retrieval, ERIC2016, LNCS, vol 9626. Springer, Cham, pp 436\u2013449"},{"key":"549_CR17","first-page":"305","volume-title":"The semantic web ESWC 2017, LNCS","author":"K Jha","year":"2017","unstructured":"Jha K, R\u00f6der M, Ngomo ACN (2017) All that glitters is not gold: rule-based curation of reference datasets for named entity recognition and entity linking. In: Blomqvist E, Maynard D, Gangemi A, Hoekstra R, Hitzler P, Hartig O (eds) The semantic web ESWC 2017, LNCS, vol 10249. Springer, Cham, pp 305\u2013320"},{"key":"549_CR18","doi-asserted-by":"crossref","unstructured":"Kwak H, Lee C, Park H, Moon S (2010) What is Twitter, a social network or a news media? In: Proceedings of the 19th international conference on world wide web, Raleigh North Carolina, USA, pp 591\u2013600","DOI":"10.1145\/1772690.1772751"},{"key":"549_CR19","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1162\/tacl_a_00141","volume":"3","author":"X Ling","year":"2015","unstructured":"Ling X, Singh S, Weld DS (2015) Design challenges for entity linking. Trans Assoc Comput Linguist 3:315\u2013328","journal-title":"Trans Assoc Comput Linguist"},{"key":"549_CR20","unstructured":"Locke B, Martin J (2009) Named entity recognition: adapting to microblogging. University of Colorado UG Thesis, pp 1\u201312"},{"key":"549_CR21","doi-asserted-by":"crossref","unstructured":"Meij E, Weerkamp W, De Rijke M (2012) Adding semantics to microblog posts. In: Proceedings of the Fifth ACM international conference on web search and data mining. Seattle, Washington, USA, pp 563\u2013572","DOI":"10.1145\/2124295.2124364"},{"key":"549_CR22","doi-asserted-by":"crossref","unstructured":"Milne D, Witten IH (2008) Learning to link with wikipedia. In: Proceedings of the 17th ACM conference on information and knowledge management. Napa Valley, California, USA, pp 509\u2013518","DOI":"10.1145\/1458082.1458150"},{"key":"549_CR23","doi-asserted-by":"crossref","unstructured":"Piccinno F, Ferragina P (2014) From Tagme to WAT: a new entity annotator. In: Proceedings of the 1st ACM international workshop on entity recognition and disambiguation, co-located with SIGIR 2014. USA, pp 55\u201361","DOI":"10.1145\/2633211.2634350"},{"key":"549_CR24","doi-asserted-by":"crossref","unstructured":"Ran C, Shen W, Wang J (2018) An attention factor graph model for tweet entity linking. In: Proceedings of the 2018 world wide web conference, Lyon, France, pp 1135\u20131144","DOI":"10.1145\/3178876.3186012"},{"key":"549_CR25","unstructured":"Rizzo G, Cano AE, Pereira B, Varga A (2015) Making sense of microposts (#Microposts2015) named entity recognition and linking challenge. In: Proceedings of the 5th workshop on making sense of microposts, Florence, Italy, pp 44\u201353"},{"key":"549_CR26","unstructured":"Rizzo G, Van Erp M, Plu J, Troncy R (2016) Making sense of microposts (#Microposts2016) named entity recognition and linking (NEEL) challenge. In: Proceedings of the 6th workshop on making sense of microposts, Montreal, Canada, pp 50\u201359"},{"key":"549_CR27","doi-asserted-by":"crossref","unstructured":"Rosales-M\u00e9ndez H, Hogan A, Poblete B (2018a) VoxEL: a benchmark dataset for multilingual entity linking. In: Vrande\u010di\u0107 D (eds) The semantic web: ISWC, et al (2018) ISWC 2018, LNCS, vol 11137. LNCS, Springer, Cham, pp 170\u2013186","DOI":"10.1007\/978-3-030-00668-6_11"},{"key":"549_CR28","doi-asserted-by":"crossref","unstructured":"Rosales-M\u00e9ndez H, Hogan A, Poblete B (2019) Nifify: towards better quality entity linking datasets. In: Companion proceedings of the 2019 world wide web conference, San Francisco, USA, pp 815\u2013818","DOI":"10.1145\/3308560.3316465"},{"key":"549_CR29","doi-asserted-by":"crossref","unstructured":"Rosales-M\u00e9ndez H, Hogan A, Poblete B (2020) Fine-grained evaluation for entity linking. In: Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing, Hong Kong, China, pp 718\u2013727","DOI":"10.18653\/v1\/D19-1066"},{"key":"549_CR30","first-page":"1","volume":"2100","author":"H Rosales-M\u00e9ndez","year":"2018","unstructured":"Rosales-M\u00e9ndez H, Poblete B, Hogan A (2018b) What should entity linking link? CEUR Workshop Proc 2100:1\u20135","journal-title":"CEUR Workshop Proc"},{"key":"549_CR31","doi-asserted-by":"crossref","unstructured":"Shen W, Wang J, Luo P, Wang M (2013) Linking named entities in tweets with knowledge base via user interest modeling. In: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, Chicago, Illinois, USA, pp 68\u201376","DOI":"10.1145\/2487575.2487686"},{"key":"549_CR32","doi-asserted-by":"crossref","unstructured":"Usbeck R, R\u00f6der M, Ngomo ACN, Baron C, Both A, Br\u00fcmmer M, Ceccarelli D, Cornolti M, Cherix D, Eickmann B, Ferragina P, Lemke C, Moro A, Navigli R, Piccinno F, Rizzo G, Sack H, Speck R, Troncy R, Waitelonis J, Wesemann L (2015) GERBIL: General entity annotator benchmarking framework. In: Proceedings of the 24th international conference on world wide web, Florence, Italy, pp 1133\u20131143","DOI":"10.1145\/2736277.2741626"},{"key":"549_CR33","unstructured":"Van Erp M, Mendes PN, Paulheim H, Ilievski F, Plu J, Rizzo G, Waitelonis J (2016) Evaluating entity linking: an analysis of current benchmark datasets and a roadmap for doing a better job. In: Proceedings of the tenth international conference on language resources and evaluation, Portoro\u017e, Slovenia, pp 4373\u20134379"},{"key":"549_CR34","doi-asserted-by":"crossref","unstructured":"Speck R, Ngonga ACN (2014) Ensemble learning for named entity recognition. In: Mika P (eds) The Semantic Web: ISWC et al (2014) ISWC 2014, LNCS, vol 8796. Springer, Cham, pp 293\u2013308","DOI":"10.1007\/978-3-319-11964-9_33"},{"key":"549_CR35","doi-asserted-by":"crossref","unstructured":"Weichselbraun A, Bra\u015foveanu AM, Kuntschik P, Nixon LJ (2019) Improving named entity linking corpora quality. In: Proceedings of the international conference on recent advances in natural language processing, Varna, Bulgaria, pp 1328\u20131337","DOI":"10.26615\/978-954-452-056-4_152"},{"key":"549_CR36","doi-asserted-by":"publisher","first-page":"6220","DOI":"10.1109\/ACCESS.2017.2787787","volume":"6","author":"G Wu","year":"2018","unstructured":"Wu G, He Y, Hu X (2018) Entity linking: an issue to extract corresponding entity with knowledge base. IEEE Access 6:6220\u20136231","journal-title":"IEEE Access"},{"issue":"12","key":"549_CR37","doi-asserted-by":"publisher","first-page":"1450","DOI":"10.14778\/3402755.3402793","volume":"4","author":"MA Yosef","year":"2011","unstructured":"Yosef MA, Hoffart J, Bordino I, Spaniol M, Weikum G (2011) AIDA: an online tool for accurate disambiguation of named entities in text and tables. Proc VLDB Endow 4(12):1450\u20131457","journal-title":"Proc VLDB Endow"},{"issue":"2","key":"549_CR38","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/j.ipm.2017.12.003","volume":"54","author":"F Zarrinkalam","year":"2018","unstructured":"Zarrinkalam F, Kahani M, Bagheri E (2018) Mining user interests over active topics on social networks. Inf Process Manage 54(2):339\u2013357","journal-title":"Inf Process Manage"}],"container-title":["Evolutionary Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-020-00549-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12065-020-00549-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-020-00549-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T12:09:41Z","timestamp":1698667781000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12065-020-00549-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":38,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["549"],"URL":"https:\/\/doi.org\/10.1007\/s12065-020-00549-8","relation":{},"ISSN":["1864-5909","1864-5917"],"issn-type":[{"type":"print","value":"1864-5909"},{"type":"electronic","value":"1864-5917"}],"subject":[],"published":{"date-parts":[[2021,2,1]]},"assertion":[{"value":"9 May 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 December 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 February 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}