{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:24:02Z","timestamp":1743053042602,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030594152"},{"type":"electronic","value":"9783030594169"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-59416-9_9","type":"book-chapter","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T16:08:14Z","timestamp":1600704494000},"page":"141-157","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fine-Grained Entity Typing for Relation-Sparsity Entities"],"prefix":"10.1007","author":[{"given":"Lei","family":"Niu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binbin","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoyin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"9_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1007\/978-3-540-76298-0_52","volume-title":"The Semantic Web","author":"S Auer","year":"2007","unstructured":"Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., et al. (eds.) ASWC\/ISWC -2007. LNCS, vol. 4825, pp. 722\u2013735. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-76298-0_52"},{"key":"9_CR2","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Advances in Neural Information Processing Systems, pp. 2787\u20132795 (2013)"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Choi, E., Levy, O., Choi, Y., Zettlemoyer, L.: Ultra-fine entity typing. arXiv preprint arXiv:1807.04905 (2018)","DOI":"10.18653\/v1\/P18-1009"},{"key":"9_CR4","unstructured":"Cui, Y., et al.: Pre-training with whole word masking for Chinese bert. arXiv preprint arXiv:1906.08101 (2019)"},{"key":"9_CR5","doi-asserted-by":"crossref","unstructured":"Dong, X., et al.: Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 601\u2013610. ACM (2014)","DOI":"10.1145\/2623330.2623623"},{"key":"9_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/978-3-030-18576-3_22","volume-title":"Database Systems for Advanced Applications","author":"F He","year":"2019","unstructured":"He, F., et al.: Unsupervised entity alignment using attribute triples and relation triples. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds.) DASFAA 2019. LNCS, vol. 11446, pp. 367\u2013382. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-18576-3_22"},{"key":"9_CR7","unstructured":"Jiang, T., Liu, M., Qin, B., Liu, T.: Attribute acquisition in ontology based on representation learning of hierarchical classes and attributes. arXiv preprint arXiv:1903.03282 (2019)"},{"key":"9_CR8","unstructured":"Jin, H., Hou, L., Li, J., Dong, T.: Attributed and predictive entity embedding for fine-grained entity typing in knowledge bases. In: Proceedings of the 27th International Conference on Computational Linguistics, pp. 282\u2013292 (2018)"},{"key":"9_CR9","unstructured":"Lenci, A., Benotto, G.: Identifying hypernyms in distributional semantic spaces. In: * SEM 2012: The First Joint Conference on Lexical and Computational Semantics-Volume 1: Proceedings of the Main Conference and the Shared Task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012), pp. 75\u201379 (2012)"},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Lin, Y., Liu, Z., Luan, H., Sun, M., Rao, S., Liu, S.: Modeling relation paths for representation learning of knowledge bases. arXiv preprint arXiv:1506.00379 (2015)","DOI":"10.18653\/v1\/D15-1082"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Lin, Y., Liu, Z., Sun, M., Liu, Y., Zhu, X.: Learning entity and relation embeddings for knowledge graph completion. In: AAAI, vol. 15, pp. 2181\u20132187 (2015)","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"9_CR12","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, D.S.: Design challenges for entity linking. Trans. Assoc. Comput. Linguist. 3, 315\u2013328 (2015)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"9_CR13","unstructured":"Liu, Y., Liu, K., Xu, L., Zhao, J., et al.: Exploring fine-grained entity type constraints for distantly supervised relation extraction (2014)"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"L\u00f3pez, F., Heinzerling, B., Strube, M.: Fine-grained entity typing in hyperbolic space. arXiv preprint arXiv:1906.02505 (2019)","DOI":"10.18653\/v1\/W19-4319"},{"issue":"1","key":"9_CR15","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1075\/li.30.1.03nad","volume":"30","author":"D Nadeau","year":"2007","unstructured":"Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Lingvisticae Investigationes 30(1), 3\u201326 (2007)","journal-title":"Lingvisticae Investigationes"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Neelakantan, A., Chang, M.W.: Inferring missing entity type instances for knowledge base completion: New dataset and methods. arXiv preprint arXiv:1504.06658 (2015)","DOI":"10.3115\/v1\/N15-1054"},{"key":"9_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"510","DOI":"10.1007\/978-3-642-41335-3_32","volume-title":"The Semantic Web \u2013 ISWC 2013","author":"H Paulheim","year":"2013","unstructured":"Paulheim, H., Bizer, C.: Type inference on noisy RDF data. In: Alani, H., et al. (eds.) ISWC 2013. LNCS, vol. 8218, pp. 510\u2013525. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41335-3_32"},{"key":"9_CR18","doi-asserted-by":"crossref","unstructured":"Ren, X., He, W., Qu, M., Huang, L., Ji, H., Han, J.: AFET: automatic fine-grained entity typing by hierarchical partial-label embedding. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 1369\u20131378 (2016)","DOI":"10.18653\/v1\/D16-1144"},{"key":"9_CR19","unstructured":"Sang, E.F., De Meulder, F.: Introduction to the conll-2003 shared task: Language-independent named entity recognition. arXiv preprint cs\/0306050 (2003)"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: Proceedings of the 16th International Conference on World Wide Web, pp. 697\u2013706. ACM (2007)","DOI":"10.1145\/1242572.1242667"},{"key":"9_CR21","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhang, J., Feng, J., Chen, Z.: Knowledge graph embedding by translating on hyperplanes. In: AAAI, vol. 14, pp. 1112\u20131119 (2014)","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"9_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1007\/978-3-319-32025-0_28","volume-title":"Database Systems for Advanced Applications","author":"B Xu","year":"2016","unstructured":"Xu, B., Zhang, Y., Liang, J., Xiao, Y., Hwang, S., Wang, W.: Cross-lingual type inference. In: Navathe, S.B., Wu, W., Shekhar, S., Du, X., Wang, X.S., Xiong, H. (eds.) DASFAA 2016. LNCS, vol. 9642, pp. 447\u2013462. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-32025-0_28"},{"key":"9_CR23","doi-asserted-by":"crossref","unstructured":"Yaghoobzadeh, Y., Sch\u00fctze, H.: Multi-level representations for fine-grained typing of knowledge base entities. arXiv preprint arXiv:1701.02025 (2017)","DOI":"10.18653\/v1\/E17-1055"},{"key":"9_CR24","doi-asserted-by":"crossref","unstructured":"Yaghoobzadeh, Y., Tze, H.S.: Corpus-level fine-grained entity typing using con-textual information. arXiv preprint arXiv:1606.07901 (2016)","DOI":"10.18653\/v1\/D15-1083"},{"key":"9_CR25","doi-asserted-by":"crossref","unstructured":"Yahya, M., Berberich, K., Elbassuoni, S., Weikum, G.: Robust question answering over the web of linked data. In: Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management, pp. 1107\u20131116. ACM (2013)","DOI":"10.1145\/2505515.2505677"},{"key":"9_CR26","doi-asserted-by":"crossref","unstructured":"Yavuz, S., Gur, I., Su, Y., Srivatsa, M., Yan, X.: Improving semantic parsing via answer type inference. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 149\u2013159 (2016)","DOI":"10.18653\/v1\/D16-1015"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59416-9_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:31:26Z","timestamp":1709811086000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59416-9_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030594152","9783030594169"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59416-9_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jeju","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","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":"24 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/db.pknu.ac.kr\/dasfaa2020\/","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":"487","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":"119","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":"23","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":"3.11","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":"6.81","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":"15 demo papers and 4 industrial papers","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)"}}]}}