{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:20:12Z","timestamp":1742955612367,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030676636"},{"type":"electronic","value":"9783030676643"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-67664-3_37","type":"book-chapter","created":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T07:06:46Z","timestamp":1614150406000},"page":"617-632","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams"],"prefix":"10.1007","author":[{"given":"Wanzheng","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Hongyu","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Jiaming","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jingbo","family":"Shang","sequence":"additional","affiliation":[]},{"given":"Suma","family":"Bhat","sequence":"additional","affiliation":[]},{"given":"Jiawei","family":"Han","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,25]]},"reference":[{"key":"37_CR1","doi-asserted-by":"crossref","unstructured":"Cao, H., et al.: Context-aware query suggestion by mining click-through and session data. In: KDD (2008)","DOI":"10.1145\/1401890.1401995"},{"key":"37_CR2","doi-asserted-by":"crossref","unstructured":"Chen, Z., Cafarella, M., Jagadish, H.: Long-tail vocabulary dictionary extraction from the web. In: WSDM (2016)","DOI":"10.1145\/2835776.2835778"},{"key":"37_CR3","doi-asserted-by":"crossref","unstructured":"Chinchor, N.: Muc-4 evaluation metrics. In: Proceedings of the 4th Conference on Message Understanding. Association for Computational Linguistics (1992)","DOI":"10.3115\/1072064.1072067"},{"issue":"5","key":"37_CR4","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1109\/34.1000236","volume":"24","author":"D Comaniciu","year":"2002","unstructured":"Comaniciu, D., Meer, P.: Mean shift: a robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell. 24(5), 603\u2013619 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"37_CR5","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. In: NAACL (2019)"},{"issue":"5814","key":"37_CR6","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1126\/science.1136800","volume":"315","author":"BJ Frey","year":"2007","unstructured":"Frey, B.J., Dueck, D.: Clustering by passing messages between data points. Science 315(5814), 972\u2013976 (2007)","journal-title":"Science"},{"key":"37_CR7","doi-asserted-by":"crossref","unstructured":"Goldberg, M.K., Hayvanovych, M., Magdon-Ismail, M.: Measuring similarity between sets of overlapping clusters. In: 2010 IEEE Second International Conference on Social Computing (SoialCom), pp. 303\u2013308. IEEE (2010)","DOI":"10.1109\/SocialCom.2010.50"},{"issue":"12","key":"37_CR8","doi-asserted-by":"publisher","first-page":"2639","DOI":"10.1162\/0899766042321814","volume":"16","author":"DR Hardoon","year":"2004","unstructured":"Hardoon, D.R., Szedmak, S., Shawe-Taylor, J.: Canonical correlation analysis: an overview with application to learning methods. Neural Comput. 16(12), 2639\u20132664 (2004)","journal-title":"Neural Comput."},{"key":"37_CR9","doi-asserted-by":"crossref","unstructured":"He, Y., Xin, D.: SEISA: set expansion by iterative similarity aggregation. In: WWW (2011)","DOI":"10.1145\/1963405.1963467"},{"key":"37_CR10","doi-asserted-by":"crossref","unstructured":"Hermann, K.M., Blunsom, P.: Multilingual models for compositional distributed semantics. arXiv preprint arXiv:1404.4641 (2014)","DOI":"10.3115\/v1\/P14-1006"},{"key":"37_CR11","doi-asserted-by":"crossref","unstructured":"Iacobacci, I., Pilehvar, M.T., Navigli, R.: Embeddings for word sense disambiguation: an evaluation study. In: ACL (2016)","DOI":"10.18653\/v1\/P16-1085"},{"key":"37_CR12","doi-asserted-by":"crossref","unstructured":"Jain, A., Pennacchiotti, M.: Open entity extraction from web search query logs. In: COLING (2010)","DOI":"10.1145\/1963192.1963225"},{"issue":"1","key":"37_CR13","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1214\/aoms\/1177729694","volume":"22","author":"S Kullback","year":"1951","unstructured":"Kullback, S., Leibler, R.A.: On information and sufficiency. Ann. Math. Stat. 22(1), 79\u201386 (1951)","journal-title":"Ann. Math. Stat."},{"key":"37_CR14","unstructured":"Mamou, J., et al.: SetExpander: end-to-end term set expansion based on multi-context term embeddings. In: COLING (2018)"},{"key":"37_CR15","doi-asserted-by":"crossref","unstructured":"Mamou, J., et al.: Term set expansion based NLP architect by Intel AI Lab. In: EMNLP (2018)","DOI":"10.18653\/v1\/D18-2004"},{"key":"37_CR16","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: NIPS (2013)"},{"key":"37_CR17","doi-asserted-by":"crossref","unstructured":"Pantel, P., Crestan, E., Borkovsky, A., Popescu, A.M., Vyas, V.: Web-scale distributional similarity and entity set expansion. In: EMNLP (2009)","DOI":"10.3115\/1699571.1699635"},{"key":"37_CR18","doi-asserted-by":"crossref","unstructured":"Pelevina, M., Arefyev, N., Biemann, C., Panchenko, A.: Making sense of word embeddings. In: Rep4NLP@ACL (2016)","DOI":"10.18653\/v1\/W16-1620"},{"key":"37_CR19","doi-asserted-by":"crossref","unstructured":"Raganato, A., Bovi, C.D., Navigli, R.: Neural sequence learning models for word sense disambiguation. In: EMNLP (2017)","DOI":"10.18653\/v1\/D17-1120"},{"key":"37_CR20","doi-asserted-by":"crossref","unstructured":"Raganato, A., Camacho-Collados, J., Navigli, R.: Word sense disambiguation: a unified evaluation framework and empirical comparison. In: EACL (2017)","DOI":"10.18653\/v1\/E17-1010"},{"key":"37_CR21","doi-asserted-by":"crossref","unstructured":"Rong, X., Chen, Z., Mei, Q., Adar, E.: EgoSet: exploiting word ego-networks and user-generated ontology for multifaceted set expansion. In: WSDM (2016)","DOI":"10.1145\/2835776.2835808"},{"key":"37_CR22","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.jbi.2014.11.002","volume":"53","author":"A Sarker","year":"2015","unstructured":"Sarker, A., Gonzalez, G.: Portable automatic text classification for adverse drug reaction detection via multi-corpus training. J. Biomed. Inform. 53, 196\u2013207 (2015)","journal-title":"J. Biomed. Inform."},{"key":"37_CR23","doi-asserted-by":"crossref","unstructured":"Sarmento, L., Jijkoun, V., de Rijke, M., Oliveira, E.C.: \u201cMore like these\": growing entity classes from seeds. In: CIKM (2007)","DOI":"10.1145\/1321440.1321585"},{"key":"37_CR24","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1007\/978-3-319-71249-9_18","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"J Shen","year":"2017","unstructured":"Shen, J., Wu, Z., Lei, D., Shang, J., Ren, X., Han, J.: SetExpan: corpus-based set expansion via context feature selection and rank ensemble. In: Ceci, M., Hollm\u00e9n, J., Todorovski, L., Vens, C., D\u017eeroski, S. (eds.) ECML PKDD 2017. LNCS (LNAI), vol. 10534, pp. 288\u2013304. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-71249-9_18"},{"key":"37_CR25","doi-asserted-by":"crossref","unstructured":"Shen, J., et al.: HiExpan: task-guided taxonomy construction by hierarchical tree expansion. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2180\u20132189 (2018)","DOI":"10.1145\/3219819.3220115"},{"issue":"1","key":"37_CR26","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1162\/tacl_a_00177","volume":"2","author":"R Socher","year":"2014","unstructured":"Socher, R., Karpathy, A., Le, Q.V., Manning, C.D., Ng, A.Y.: Grounded compositional semantics for finding and describing images with sentences. Trans. Assoc. Comput. Linguist. 2(1), 207\u2013218 (2014)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"37_CR27","doi-asserted-by":"publisher","unstructured":"Steinbach, M., Ert\u00f6z, L., Kumar, V.: The challenges of clustering high dimensional data. In: Wille L.T. (eds.) New Directions in Statistical Physics. Springer, Berlin, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-662-08968-2_16","DOI":"10.1007\/978-3-662-08968-2_16"},{"key":"37_CR28","doi-asserted-by":"crossref","unstructured":"Taghipour, K., Ng, H.T.: Semi-supervised word sense disambiguation using word embeddings in general and specific domains. In: NAACL-HLT (2015)","DOI":"10.3115\/v1\/N15-1035"},{"key":"37_CR29","unstructured":"Tong, S., Dean, J.: System and methods for automatically creating lists. US Patent 7,350,187 (2008)"},{"issue":"3","key":"37_CR30","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1162\/COLI_a_00146","volume":"39","author":"P Velardi","year":"2013","unstructured":"Velardi, P., Faralli, S., Navigli, R.: Ontolearn reLoaded: a graph-based algorithm for taxonomy induction. Comput. Linguist. 39(3), 665\u2013707 (2013)","journal-title":"Comput. Linguist."},{"key":"37_CR31","doi-asserted-by":"crossref","unstructured":"Wang, C., Chakrabarti, K., He, Y., Ganjam, K., Chen, Z., Bernstein, P.A.: Concept expansion using web tables. In: WWW (2015)","DOI":"10.1145\/2736277.2741644"},{"key":"37_CR32","doi-asserted-by":"crossref","unstructured":"Wang, R.C., Cohen, W.W.: Language-independent set expansion of named entities using the web. In: ICDM (2007)","DOI":"10.1109\/ICDM.2007.104"},{"key":"37_CR33","doi-asserted-by":"crossref","unstructured":"Wang, R.C., Cohen, W.W.: Iterative set expansion of named entities using the web. In: ICDM (2008)","DOI":"10.1109\/ICDM.2008.145"},{"key":"37_CR34","doi-asserted-by":"crossref","unstructured":"Weikum, G., Theobald, M.: From information to knowledge: harvesting entities and relationships from web sources. In: PODS (2010)","DOI":"10.1145\/1807085.1807097"},{"key":"37_CR35","unstructured":"Zhao, J., Liu, K., Zhou, G., Qi, Z., Liu, Y., Han, X.: Knowledge extraction from wikis\/bbs\/blogs\/news web sites (2014)"},{"key":"37_CR36","doi-asserted-by":"crossref","unstructured":"Zhu, W., Zhang, C., Yao, S., Gao, X., Han, J.: A spherical hidden Markov model for semantics-rich human mobility modeling. In: AAAI (2018)","DOI":"10.1609\/aaai.v32i1.11777"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-67664-3_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T23:05:38Z","timestamp":1740351938000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-67664-3_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030676636","9783030676643"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-67664-3_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"25 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ghent","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgium","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 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecmlpkdd2020.net\/","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":"945","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":"195","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":"21% - 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":"4,5","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":"4,4","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference took place virtually due to the COVID-19 pandemic","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)"}}]}}