{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T05:22:28Z","timestamp":1790745748918,"version":"4.1.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030454388","type":"print"},{"value":"9783030454395","type":"electronic"}],"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.springernature.com\/gp\/researchers\/text-and-data-mining"},{"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.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-45439-5_7","type":"book-chapter","created":{"date-parts":[[2020,4,11]],"date-time":"2020-04-11T04:02:50Z","timestamp":1586577770000},"page":"97-110","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Graph-Embedding Empowered Entity Retrieval"],"prefix":"10.1007","author":[{"given":"Emma J.","family":"Gerritse","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Faegheh","family":"Hasibi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arjen P.","family":"de Vries","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,4,8]]},"reference":[{"key":"7_CR1","unstructured":"Paulheim, H.: Machine learning & embeddings for large knowledge graphs, July 2019. https:\/\/www.slideshare.net\/heikopaulheim\/machine-learning-embeddings-for-large-knowledge-graphs"},{"key":"7_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93935-3","volume-title":"Entity-Oriented Search","author":"K Balog","year":"2018","unstructured":"Balog, K.: Entity-Oriented Search. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93935-3"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Blanco, R., Ottaviano, G., Meij, E.: Fast and space-efficient entity linking in queries. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, pp. 179\u2013188 (2015)","DOI":"10.1145\/2684822.2685317"},{"key":"7_CR4","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Proceedings of the 26th International Conference on Neural Information Processing Systems, pp. 2787\u20132795. ACM (2013)"},{"issue":"2","key":"7_CR5","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1109\/TPAMI.1979.4766909","volume":"1","author":"DL Davies","year":"1979","unstructured":"Davies, D.L., Bouldin, D.W.: A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 1(2), 224\u2013227 (1979)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Dehghani, M., Zamani, H., Severyn, A., Kamps, J., Croft, W.B.: Neural ranking models with weak supervision. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 65\u201374 (2017)","DOI":"10.1145\/3077136.3080832"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Diaz, F., Mitra, B., Craswell, N.: Query expansion with locally-trained word embeddings. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pp. 367\u2013377 (2016)","DOI":"10.18653\/v1\/P16-1035"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Ferragina, P., Scaiella, U.: TAGME: on-the-fly annotation of short text fragments (by wikipedia entities). In: Proceedings of the 19th ACM International IW3C2 on Information and Knowledge Management, pp. 1625\u20131628. ACM (2010)","DOI":"10.1145\/1871437.1871689"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Hasibi, F., Balog, K., Bratsberg, S.E.: Entity linking in queries: tasks and evaluation. In: Proceedings of the 2015 International Conference on The Theory of Information Retrieval, p. 171\u2013180 (2015)","DOI":"10.1145\/2808194.2809473"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Hasibi, F., Balog, K., Bratsberg, S.E.: Exploiting entity linking in queries for entity retrieval. In: Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval, pp. 209\u2013218. ACM (2016)","DOI":"10.1145\/2970398.2970406"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Hasibi, F., Balog, K., Garigliotti, D., Zhang, S.: Nordlys: a toolkit for entity-oriented and semantic search. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1289\u20131292. ACM (2017)","DOI":"10.1145\/3077136.3084149"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Hasibi, F., et al.: DBpedia-Entity V2: a test collection for entity search. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1265\u20131268. ACM (2017)","DOI":"10.1145\/3077136.3080751"},{"key":"7_CR13","unstructured":"He, J., et al.: Exploring topic structure: coherence, diversity and relatedness. SIKS (2011)"},{"issue":"5","key":"7_CR14","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/0020-0271(71)90051-9","volume":"7","author":"N Jardine","year":"1971","unstructured":"Jardine, N., van Rijsbergen, C.J.: The use of hierarchic clustering in information retrieval. Inf. Storage Retrieval 7(5), 217\u2013240 (1971)","journal-title":"Inf. Storage Retrieval"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Liu, Z., Xiong, C., Sun, M., Liu, Z.: Explore entity embedding effectiveness in entity retrieval. arXiv preprint arXiv:1908.10554 (2019)","DOI":"10.1007\/978-3-030-32381-3_9"},{"issue":"29","key":"7_CR16","doi-asserted-by":"publisher","first-page":"861","DOI":"10.21105\/joss.00861","volume":"3","author":"L McInnes","year":"2018","unstructured":"McInnes, L., Healy, J., Saul, N., Grossberger, L.: UMAP: uniform manifold approximation and projection. J. Open Source Softw. 3(29), 861 (2018)","journal-title":"J. Open Source Softw."},{"issue":"3","key":"7_CR17","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/s10791-006-9019-z","volume":"10","author":"D Metzler","year":"2007","unstructured":"Metzler, D., Bruce Croft, W.: Linear feature-based models for information retrieval. Inf. Retrieval 10(3), 257\u2013274 (2007)","journal-title":"Inf. Retrieval"},{"key":"7_CR18","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: 1st International Conference on Learning Representations, ICLR, pp. 1\u201312 (2013)"},{"key":"7_CR19","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems (NIPS), pp. 3111\u20133119 (2013)"},{"issue":"8","key":"7_CR20","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1145\/3331166","volume":"62","author":"N Noy","year":"2019","unstructured":"Noy, N., Gao, Y., Jain, A., Narayanan, A., Patterson, A., Taylor, J.: Industry-scale knowledge graphs: lessons and challenges. Commun. ACM 62(8), 36\u201343 (2019)","journal-title":"Commun. ACM"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp. 1532\u20131543. ACL (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: DeepWalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 701\u2013710. ACM (2014)","DOI":"10.1145\/2623330.2623732"},{"issue":"4","key":"7_CR23","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1561\/1500000019","volume":"3","author":"S Robertson","year":"2009","unstructured":"Robertson, S., Zaragoza, H., et al.: The probabilistic relevance framework: BM25 and beyond. Found. Trends\u00ae Inf. Retrieval 3(4), 333\u2013389 (2009)","journal-title":"Found. Trends\u00ae Inf. Retrieval"},{"key":"7_CR24","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."},{"key":"7_CR25","unstructured":"Yamada, I., Asai, A., Shindo, H., Takeda, H., Takefuji, Y.: Wikipedia2Vec: an optimized tool for learning embeddings of words and entities from Wikipedia. arXiv preprint 1812.06280 (2018)"},{"key":"7_CR26","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: The SIGNLL Conference on Computational Natural Language Learning (2016)","DOI":"10.18653\/v1\/K16-1025"},{"key":"7_CR27","doi-asserted-by":"crossref","unstructured":"Zhiltsov, N., Kotov, A., Nikolaev, F.: Fielded sequential dependence model for ad-hoc entity retrieval in the web of data. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 253\u2013262. ACM (2015)","DOI":"10.1145\/2766462.2767756"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-45439-5_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T19:11:59Z","timestamp":1710357119000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-45439-5_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030454388","9783030454395"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-45439-5_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"8 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"14 April 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"42","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecir2020.org\/","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":"457","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":"55","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":"46","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":"12% - 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":"4","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":"4","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":"Also included: 8 reproducibility papers, 10 demonstration papers, 12 CLEF organizers lab track papers, 7 doctoral consortium papers, 4 workshops, 3 tutorials. Due to the COVID-19 pandemic, this conference was held virtually.","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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}