{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:49:24Z","timestamp":1743090564053,"version":"3.40.3"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030342227"},{"type":"electronic","value":"9783030342234"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-34223-4_32","type":"book-chapter","created":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T00:14:40Z","timestamp":1573690480000},"page":"507-522","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["WebEL: Improving Entity Linking with Extra Web Contexts"],"prefix":"10.1007","author":[{"given":"Yiting","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"An","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanfeng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,29]]},"reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"Alhelbawy, A., Gaizauskas, R.: Graph ranking for collective named entity disambiguation. In: Meeting of the Association for Computational Linguistics, pp. 75\u201380 (2014)","DOI":"10.3115\/v1\/P14-2013"},{"key":"32_CR2","doi-asserted-by":"crossref","unstructured":"Basile, P., Caputo, A.: Entity linking for tweets. In: Meeting of the Association for Computational Linguistics, pp. 1304\u20131311 (2017)","DOI":"10.1142\/9789813227927_0019"},{"key":"32_CR3","doi-asserted-by":"crossref","unstructured":"Blanco, R., Ottaviano, G., Meij, E.: Fast and space-efficient entity linking in queries. In: Eighth ACM International Conference on Web Search and Data Mining, pp. 179\u2013188 (2015)","DOI":"10.1145\/2684822.2685317"},{"key":"32_CR4","unstructured":"Bunescu, R.C., Pasca, M.: Using encyclopedic knowledge for named entity disambiguation. In: Conference of the European Chapter of the Association for Computational Linguistics, pp. 9\u201316 (2006)"},{"key":"32_CR5","unstructured":"Cai, R., Wang, H., Zhang, J.: Learning entity representation for named entity disambiguation. In: Meeting of the Association for Computational Linguistics, pp. 30\u201334 (2013)"},{"key":"32_CR6","unstructured":"Cheng, X., Roth, D.: Relational inference for wikification. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1787\u20131796 (2013)"},{"key":"32_CR7","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1162\/tacl_a_00129","volume":"3","author":"A Chisholm","year":"2015","unstructured":"Chisholm, A., Hachey, B.: Entity disambiguation with web links. Trans. Assoc. Comput. Linguist. 3, 145\u2013156 (2015)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"32_CR8","unstructured":"Cucerzan, S.: Large-scale named entity disambiguation based on Wikipedia data. In: EMNLP-CoNLL 2007, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Prague, Czech Republic, 28\u201330 June 2007, pp. 708\u2013716 (2007)"},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Fang, W., Zhang, J., Wang, D., Chen, Z., Li, M.: Entity disambiguation by knowledge and text jointly embedding. In: SIGNLL Conference on Computational Natural Language Learning., pp. 260\u2013269 (2016)","DOI":"10.18653\/v1\/K16-1026"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Francislandau, M., Durrett, G., Klein, D.: Capturing semantic similarity for entity linking with convolutional neural networks. In: North American Chapter of the Association for Computational Linguistics, pp. 1256\u20131261 (2016)","DOI":"10.18653\/v1\/N16-1150"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Ganea, O.E., Ganea, M., Lucchi, A., Eickhoff, C., Hofmann, T.: Probabilistic bag-of-hyperlinks model for entity linking. In: International World Wide Web Conferences, pp. 927\u2013938 (2015)","DOI":"10.1145\/2872427.2882988"},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Ganea, O.E., Hofmann, T.: Deep joint entity disambiguation with local neural attention. arXiv preprint arXiv:1704.04920 (2017)","DOI":"10.18653\/v1\/D17-1277"},{"key":"32_CR13","unstructured":"Gang, Z., Zong-Min, M.A., Kan, H.M., Niu, L.Q.: Texture feature extraction approach using co-occurrence matrix. J. Shenyang Univ. Technol. 32(2), 192\u2013195+211 (2010)"},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Globerson, A., Lazic, N., Chakrabarti, S., Subramanya, A., Ringaard, M., Pereira, F.: Collective entity resolution with multi-focal attention. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), vol. 1, pp. 621\u2013631 (2016)","DOI":"10.18653\/v1\/P16-1059"},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Han, X., Sun, L., Zhao, J.: Collective entity linking in web text: a graph-based method. In: International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 765\u2013774 (2011)","DOI":"10.1145\/2009916.2010019"},{"key":"32_CR16","unstructured":"Hoffart, J., et al.: Robust disambiguation of named entities in text. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 782\u2013792. Association for Computational Linguistics (2011)"},{"key":"32_CR17","unstructured":"Hoffmann, R., Zhang, C., Ling, X., Zettlemoyer, L.S., Weld, D.S.: Knowledge-based weak supervision for information extraction of overlapping relations. In: Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 541\u2013550 (2011)"},{"key":"32_CR18","unstructured":"Huu, T., Fauceglia, N., Muro, M.R., Hassanzadeh, O., Gliozzo, A.M., Sadoghi, M.: Joint learning of local and global features for entity linking via neural networks. In: The International Conference on Computational Linguistics (2016)"},{"key":"32_CR19","unstructured":"Ji, H., Grishman, R., Dang, H.T., Griffitt, K., Ellis, J.: Overview of the TAC 2010 knowledge base population track. In: Text Analysis Conference (2009)"},{"key":"32_CR20","unstructured":"Landgraf, A.J., Bellay, J.: word2vec skip-gram with negative sampling is a weighted logistic PCA. Computation and Language (2017)"},{"key":"32_CR21","doi-asserted-by":"crossref","unstructured":"Le, P., Titov, I.: Improving entity linking by modeling latent relations between mentions. arXiv preprint arXiv:1804.10637 (2018)","DOI":"10.18653\/v1\/P18-1148"},{"key":"32_CR22","doi-asserted-by":"crossref","unstructured":"Lei, K., Deng, Y., Zhang, B., Shen, Y.: Open domain question answering with character-level deep learning models. In: International Symposium on Computational Intelligence and Design, pp. 30\u201333 (2018)","DOI":"10.1109\/ISCID.2017.58"},{"key":"32_CR23","unstructured":"Liu, F.H., Gu, L., Gao, Y., Picheny, M.: Use of statistical n-gram models in natural language generation for machine translation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003, Proceedings, vol. 1, pp. I-636-I-639 (2003)"},{"issue":"2","key":"32_CR24","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1109\/TSC.2011.58","volume":"6","author":"G Liu","year":"2013","unstructured":"Liu, G., Wang, Y., Orgun, M.A.: Finding k optimal social trust paths for the selection of trustworthy service providers in complex social networks. IEEE Trans. Serv. Comput. 6(2), 152\u2013167 (2013)","journal-title":"IEEE Trans. Serv. Comput."},{"key":"32_CR25","doi-asserted-by":"crossref","unstructured":"Liu, G., Yan, W., Orgun, M.A.: Optimal social trust path selection in complex social networks. In: Twenty-Fourth AAAI Conference on Artificial Intelligence (2010)","DOI":"10.1609\/aaai.v24i1.7509"},{"key":"32_CR26","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.procs.2018.03.057","volume":"129","author":"A Luo","year":"2018","unstructured":"Luo, A., Gao, S., Xu, Y.: Deep semantic match model for entity linking using knowledge graph and text. Procedia Comput. Sci. 129, 110\u2013114 (2018)","journal-title":"Procedia Comput. Sci."},{"key":"32_CR27","unstructured":"Mcnamee, P., Dang, H.T.: Overview of the TAC 2009 knowledge base population track. In: Text Analysis Conference (2009)"},{"key":"32_CR28","doi-asserted-by":"crossref","unstructured":"Mihalcea, R., Csomai, A.: Wikify! linking documents to encyclopedic knowledge. In: Sixteenth ACM Conference on Conference on Information and Knowledge Management, pp. 233\u2013242 (2007)","DOI":"10.1145\/1321440.1321475"},{"key":"32_CR29","unstructured":"Pauls, A., Dan, K.: Faster and smaller n-gram language models. In: The Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, Portland, Oregon, USA, 19\u201324 June 2011, pp. 258\u2013267 (2012)"},{"key":"32_CR30","doi-asserted-by":"crossref","unstructured":"Phan, M.C., Sun, A., Yi, T., Han, J., Li, C.: NeuPL: attention-based semantic matching and pair-linking for entity disambiguation. In: CIKM (2017)","DOI":"10.1145\/3132847.3132963"},{"key":"32_CR31","unstructured":"Ratinov, L.A., Dan, R., Downey, D., Anderson, M.: Local and global algorithms for disambiguation to wikipedia. In: The Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, Portland, Oregon, USA, 19\u201324 June 2011, pp. 1375\u20131384 (2011)"},{"key":"32_CR32","unstructured":"Sun, Y., Lin, L., Tang, D., Yang, N., Ji, Z., Wang, X.: Modeling mention, context and entity with neural networks for entity disambiguation. In: International Conference on Artificial Intelligence, pp. 1333\u20131339 (2015)"},{"key":"32_CR33","doi-asserted-by":"crossref","unstructured":"Wallach, H.M.: Topic modeling: beyond bag-of-words. In: International Conference on Machine Learning, pp. 977\u2013984 (2006)","DOI":"10.1145\/1143844.1143967"},{"key":"32_CR34","unstructured":"Witten, I.H., Milne, D.N.: An effective, low-cost measure of semantic relatedness obtained from Wikipedia links. In Proceedings of the First AAAI Workshop on Wikipedia and Artificial Intelligence (2008)"},{"key":"32_CR35","doi-asserted-by":"crossref","unstructured":"Yamada, I., Shindo, H., Takeda, H., Takefuji, Y.: Joint learning of the embedding of words and entities for named entity disambiguation. In: Conference on Computational Natural Language Learning, pp. 250\u2013259 (2016)","DOI":"10.18653\/v1\/K16-1025"},{"key":"32_CR36","doi-asserted-by":"crossref","unstructured":"Yih, W.T., Chang, M.W., He, X., Gao, J.: Semantic parsing via staged query graph generation: question answering with knowledge base. In: Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing, pp. 1321\u20131331 (2015)","DOI":"10.3115\/v1\/P15-1128"},{"issue":"2","key":"32_CR37","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1145\/3086703","volume":"36","author":"M Liu","year":"2017","unstructured":"Liu, M., Chen, L., Liu, B., Zheng, G., Zhang, X.: DBpedia-based entity linking via greedy search and adjusted Monte Carlo random walk. ACM Trans. Inf. Syst. 36(2), 16 (2017)","journal-title":"ACM Trans. Inf. Syst."}],"container-title":["Lecture Notes in Computer Science","Web Information Systems Engineering \u2013 WISE 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-34223-4_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T13:31:35Z","timestamp":1710336695000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-34223-4_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030342227","9783030342234"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-34223-4_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hong Kong","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 January 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 January 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wise2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/wise2019.comp.polyu.edu.hk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"211","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"WISE 2019 has been postponed until January 2020 because of the problems in Hong Kong. For CCIS volume, Submissions: 30. Full papers accepted: 10. Short papers accepted: 5.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}