{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T15:48:53Z","timestamp":1743004133135,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030863395"},{"type":"electronic","value":"9783030863401"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86340-1_13","type":"book-chapter","created":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T12:03:14Z","timestamp":1631275394000},"page":"157-169","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["KCNet: Kernel-Based Canonicalization Network for Entities in Recruitment Domain"],"prefix":"10.1007","author":[{"given":"Nidhi","family":"Goyal","sequence":"first","affiliation":[]},{"given":"Niharika","family":"Sachdeva","sequence":"additional","affiliation":[]},{"given":"Anmol","family":"Goel","sequence":"additional","affiliation":[]},{"given":"Jushaan Singh","family":"Kalra","sequence":"additional","affiliation":[]},{"given":"Ponnurangam","family":"Kumaraguru","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,7]]},"reference":[{"key":"13_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., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudr\u00e9-Mauroux, P. (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":"13_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 (2013)"},{"key":"13_CR3","unstructured":"European Commission: ESCO handbook. EU publications (2019)"},{"key":"13_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1007\/978-3-030-47436-2_38","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"N Fatma","year":"2020","unstructured":"Fatma, N., Choudhary, V., Sachdeva, N., Rajput, N.: Canonicalizing knowledge bases for recruitment domain. In: Lauw, H.W., Wong, R.C.-W., Ntoulas, A., Lim, E.-P., Ng, S.-K., Pan, S.J. (eds.) PAKDD 2020. LNCS (LNAI), vol. 12085, pp. 500\u2013513. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-47436-2_38"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Gal\u00e1rraga, L., Heitz, G., Murphy, K., Suchanek, F.M.: Canonicalizing open knowledge bases. In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, pp. 1679\u20131688 (2014)","DOI":"10.1145\/2661829.2662073"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Gupta, S., Kenkre, S., Talukdar, P.: Care: Open knowledge graph embeddings. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 378\u2013388 (2019)","DOI":"10.18653\/v1\/D19-1036"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Hofmann, T., Sch\u00f6lkopf, B., Smola, A.J.: Kernel methods in machine learning. The Annals of Statistics, pp. 1171\u20131220 (2008)","DOI":"10.1214\/009053607000000677"},{"issue":"1","key":"13_CR8","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1109\/JSTARS.2013.2262926","volume":"7","author":"BC Kuo","year":"2013","unstructured":"Kuo, B.C., Ho, H.H., Li, C.H., Hung, C.C., Taur, J.S.: A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification. IEEE J. Selected Top. Appl. Earth Observations Remote Sensing 7(1), 317\u2013326 (2013)","journal-title":"IEEE J. Selected Top. Appl. Earth Observations Remote Sensing"},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1016\/j.neucom.2019.02.037","volume":"339","author":"L Le","year":"2019","unstructured":"Le, L., Xie, Y.: Deep embedding kernel. Neurocomputing 339, 292\u2013302 (2019)","journal-title":"Neurocomputing"},{"issue":"2","key":"13_CR10","doi-asserted-by":"publisher","first-page":"167","DOI":"10.3233\/SW-140134","volume":"6","author":"J Lehmann","year":"2015","unstructured":"Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S., Morsey, M., Van Kleef, P., Auer, S., et al.: Dbpedia-a large-scale, multilingual knowledge base extracted from wikipedia. Semantic Web 6(2), 167\u2013195 (2015)","journal-title":"Semantic Web"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Lin, X., Chen, L.: Canonicalization of open knowledge bases with side information from the source text. In: 2019 IEEE 35th International Conference on Data Engineering (ICDE), pp. 950\u2013961. IEEE (2019)","DOI":"10.1109\/ICDE.2019.00089"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Q., Javed, F., Dave, V.S., Joshi, A.: Supporting employer name normalization at both entity and cluster level. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1883\u20131892 (2017)","DOI":"10.1145\/3097983.3098093"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Q., Javed, F., Mcnair, M.: Companydepot: Employer name normalization in the online recruitment industry. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 521\u2013530 (2016)","DOI":"10.1145\/2939672.2939727"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Mendes, P.N., Jakob, M., Garc\u00eda-Silva, A., Bizer, C.: Dbpedia spotlight: shedding light on the web of documents. In: Proceedings of the 7th International Conference on Semantic Systems, pp. 1\u20138 (2011)","DOI":"10.1145\/2063518.2063519"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Neculoiu, P., Versteegh, M., Rotaru, M.: Learning text similarity with siamese recurrent networks. In: Proceedings of the 1st Workshop on Representation Learning for NLP, pp. 148\u2013157 (2016)","DOI":"10.18653\/v1\/W16-1617"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Nickel, M., Rosasco, L., Poggio, T.A., et al.: Holographic embeddings of knowledge graphs. AAAI. 2, 3\u20132 (2016)","DOI":"10.1609\/aaai.v30i1.10314"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Pavlick, E., Rastogi, P., Ganitkevitch, J., Van Durme, B., Callison-Burch, C.: Ppdb 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp. 425\u2013430 (2015)","DOI":"10.3115\/v1\/P15-2070"},{"issue":"3","key":"13_CR18","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1145\/65943.65945","volume":"7","author":"V Raghavan","year":"1989","unstructured":"Raghavan, V., Bollmann, P., Jung, G.S.: A critical investigation of recall and precision as measures of retrieval system performance. ACM Trans. Inf. Syst. (TOIS) 7(3), 205\u2013229 (1989)","journal-title":"ACM Trans. Inf. Syst. (TOIS)"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Reimers, N., Gurevych, I.: Sentence-BERT: sentence embeddings using Siamese BERT-networks. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 3982\u20133992. Association for Computational Linguistics, Hong Kong, China, November 2019","DOI":"10.18653\/v1\/D19-1410"},{"key":"13_CR20","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/978-3-319-19369-4_5","volume-title":"Artificial Intelligence and Soft Computing","author":"A Starczewski","year":"2015","unstructured":"Starczewski, A., Krzy\u017cak, A.: Performance evaluation of the silhouette index. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2015. LNCS (LNAI), vol. 9120, pp. 49\u201358. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19369-4_5"},{"key":"13_CR21","doi-asserted-by":"crossref","unstructured":"Vashishth, S., Jain, P., Talukdar, P.: CESI: canonicalizing open knowledge bases using embeddings and side information. In: Proceedings of the 2018 World Wide Web Conference, WWW 2018, International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, pp. 1317\u20131327 (2018)","DOI":"10.1145\/3178876.3186030"},{"issue":"10","key":"13_CR22","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1145\/2629489","volume":"57","author":"D Vrande\u010di\u0107","year":"2014","unstructured":"Vrande\u010di\u0107, D., Kr\u00f6tzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10), 78\u201385 (2014)","journal-title":"Commun. ACM"},{"key":"13_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1007\/978-3-642-35289-8_34","volume-title":"Neural Networks: Tricks of the Trade","author":"J Weston","year":"2012","unstructured":"Weston, J., Ratle, F., Mobahi, H., Collobert, R.: Deep learning via semi-supervised embedding. In: Montavon, G., Orr, G.B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade. LNCS, vol. 7700, pp. 639\u2013655. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-35289-8_34"},{"key":"13_CR24","doi-asserted-by":"crossref","unstructured":"Yan, B., Bajaj, L., Bhasin, A.: Entity resolution using social graphs for business applications. In: 2011 International Conference on Advances in Social Networks Analysis and Mining, pp. 220\u2013227. IEEE (2011)","DOI":"10.1109\/ASONAM.2011.119"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86340-1_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T23:41:07Z","timestamp":1673221267000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86340-1_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030863395","9783030863401"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86340-1_13","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":"7 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bratislava","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovakia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"496","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":"265","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":"4","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":"53% - 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":"2.5","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":"Conference was held online 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)"}}]}}