{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T00:55:56Z","timestamp":1726188956026},"publisher-location":"Cham","reference-count":38,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031243363"},{"type":"electronic","value":"9783031243370"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-24337-0_16","type":"book-chapter","created":{"date-parts":[[2023,2,25]],"date-time":"2023-02-25T12:02:40Z","timestamp":1677326560000},"page":"215-229","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Unsupervised Keyphrase Extraction from\u00a0Scientific Publications"],"prefix":"10.1007","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-1014-3481","authenticated-orcid":false,"given":"Eirini","family":"Papagiannopoulou","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7879-669X","authenticated-orcid":false,"given":"Grigorios","family":"Tsoumakas","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,26]]},"reference":[{"key":"16_CR1","unstructured":"Boudin, F.: PKE: an open source python-based keyphrase extraction toolkit. In: Proceedings of the 26th International Conference on Computational Linguistics, COLING 2016, Proceedings of the Conference System Demonstrations, Osaka, Japan, pp. 69\u201373 (2016). https:\/\/aclweb.org\/anthology\/C\/C16\/C16-2015.pdf"},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Boudin, F.: Unsupervised keyphrase extraction with multipartite graphs. In: Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics Proceedings of NAACL, NAACL 2018, New Orleans (2018)","DOI":"10.18653\/v1\/N18-2105"},{"key":"16_CR3","unstructured":"Bougouin, A., Boudin, F., Daille, B.: TopicRank: graph-based topic ranking for keyphrase extraction. In: Proceedings of the 6th International Joint Conference on Natural Language Processing, IJCNLP 2013, Nagoya, Japan, pp. 543\u2013551 (2013). https:\/\/aclweb.org\/anthology\/I\/I13\/I13-1062.pdf"},{"issue":"1\u20137","key":"16_CR4","first-page":"107","volume":"30","author":"S Brin","year":"1998","unstructured":"Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. Comput. Netw. 30(1\u20137), 107\u2013117 (1998)","journal-title":"Comput. Netw."},{"issue":"1","key":"16_CR5","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1109\/TNN.1998.655048","volume":"9","author":"S Das","year":"1998","unstructured":"Das, S.: Elements of artificial neural networks [book reviews]. IEEE Trans. Neural Netw. 9(1), 234\u2013235 (1998)","journal-title":"IEEE Trans. Neural Netw."},{"key":"16_CR6","unstructured":"Dreiseitl, S., Osl, M., Scheibb\u00f6ck, C., Binder, M.: Outlier detection with one-class SVMs: an application to melanoma prognosis. In: AMIA Annual Symposium Proceedings. AMIA Symposium 2010, pp. 172\u2013176 (2010). https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3041295\/"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Florescu, C., Caragea, C.: A position-biased pagerank algorithm for keyphrase extraction. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, California, USA, pp. 4923\u20134924 (2017). https:\/\/aaai.org\/ocs\/index.php\/AAAI\/AAAI17\/paper\/view\/14377","DOI":"10.1609\/aaai.v31i1.11082"},{"key":"16_CR8","doi-asserted-by":"publisher","unstructured":"Florescu, C., Caragea, C.: PositionRank: an unsupervised approach to keyphrase extraction from scholarly documents. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, pp. 1105\u20131115 (2017). https:\/\/doi.org\/10.18653\/v1\/P17-1102","DOI":"10.18653\/v1\/P17-1102"},{"issue":"4","key":"16_CR9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0152173","volume":"11","author":"M Goldstein","year":"2016","unstructured":"Goldstein, M., Uchida, S.: A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data. PLoS ONE 11(4), e0152173 (2016)","journal-title":"PLoS ONE"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Gollapalli, S.D., Caragea, C.: Extracting keyphrases from research papers using citation networks. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence, Qu\u00e9bec, Canada, pp. 1629\u20131635 (2014). https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI14\/paper\/view\/8662","DOI":"10.1609\/aaai.v28i1.8946"},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Hasan, K.S., Ng, V.: Automatic keyphrase extraction: a survey of the state of the art. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, (Volume 1: Long Papers), Baltimore, MD, USA, pp. 1262\u20131273 (2014). https:\/\/aclweb.org\/anthology\/P\/P14\/P14-1119.pdf","DOI":"10.3115\/v1\/P14-1119"},{"key":"16_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1007\/3-540-46145-0_17","volume-title":"Data Warehousing and Knowledge Discovery","author":"S Hawkins","year":"2002","unstructured":"Hawkins, S., He, H., Williams, G.J., Baxter, R.A.: Outlier detection using replicator neural networks. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds.) DaWaK 2002. LNCS, vol. 2454, pp. 170\u2013180. Springer, Heidelberg (2002). https:\/\/doi.org\/10.1007\/3-540-46145-0_17"},{"issue":"1","key":"16_CR13","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1002\/wics.61","volume":"2","author":"M Hubert","year":"2010","unstructured":"Hubert, M., Debruyne, M.: Minimum covariance determinant. Wiley Interdisc. Rev.: Comput. Stat. 2(1), 36\u201343 (2010)","journal-title":"Wiley Interdisc. Rev.: Comput. Stat."},{"issue":"3","key":"16_CR14","doi-asserted-by":"publisher","DOI":"10.1002\/wics.1421","volume":"10","author":"M Hubert","year":"2018","unstructured":"Hubert, M., Debruyne, M., Rousseeuw, P.J.: Minimum covariance determinant and extensions. Wiley Interdisc. Rev.: Comput. Stat. 10(3), e1421 (2018)","journal-title":"Wiley Interdisc. Rev.: Comput. Stat."},{"key":"16_CR15","doi-asserted-by":"publisher","unstructured":"Hulth, A.: Improved automatic keyword extraction given more linguistic knowledge. In: Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, EMNLP 2003, Stroudsburg, PA, USA, pp. 216\u2013223 (2003). https:\/\/doi.org\/10.3115\/1119355.1119383","DOI":"10.3115\/1119355.1119383"},{"issue":"1","key":"16_CR16","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1108\/eb026526","volume":"28","author":"KS Jones","year":"1972","unstructured":"Jones, K.S.: A statistical interpretation of term specificity and its application in retrieval. J. Documentation 28(1), 11\u201321 (1972)","journal-title":"J. Documentation"},{"key":"16_CR17","unstructured":"Kim, S.N., Medelyan, O., Kan, M., Baldwin, T.: SemEval-2010 task 5: automatic keyphrase extraction from scientific articles. In: Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval@ACL 2010, Uppsala, Sweden, pp. 21\u201326 (2010). https:\/\/aclweb.org\/anthology\/S\/S10\/S10-1004.pdf"},{"key":"16_CR18","unstructured":"Krapivin, M., Autayeu, A., Marchese, M.: Large dataset for keyphrases extraction. In: Technical Report DISI-09-055, Trento, Italy (2008)"},{"key":"16_CR19","doi-asserted-by":"publisher","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.: Isolation forest. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, 15\u201319 December 2008, pp. 413\u2013422 (2008). https:\/\/doi.org\/10.1109\/ICDM.2008.17","DOI":"10.1109\/ICDM.2008.17"},{"key":"16_CR20","unstructured":"Liu, Z., Huang, W., Zheng, Y., Sun, M.: Automatic keyphrase extraction via topic decomposition. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP 2010, Massachussets, USA, pp. 366\u2013376 (2010). https:\/\/www.aclweb.org\/anthology\/D10-1036"},{"key":"16_CR21","doi-asserted-by":"crossref","unstructured":"Liu, Z., Li, P., Zheng, Y., Sun, M.: Clustering to find exemplar terms for keyphrase extraction. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, Singapore, pp. 257\u2013266 (2009). https:\/\/www.aclweb.org\/anthology\/D09-1027","DOI":"10.3115\/1699510.1699544"},{"key":"16_CR22","doi-asserted-by":"crossref","unstructured":"Medelyan, O., Frank, E., Witten, I.H.: Human-competitive tagging using automatic keyphrase extraction. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, Singapore, pp. 1318\u20131327 (2009). https:\/\/www.aclweb.org\/anthology\/D09-1137","DOI":"10.3115\/1699648.1699678"},{"key":"16_CR23","unstructured":"Mihalcea, R., Tarau, P.: TextRank: bringing order into text. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, EMNLP 2004, Barcelona, Spain, pp. 404\u2013411 (2004). https:\/\/www.aclweb.org\/anthology\/W04-3252"},{"issue":"3","key":"16_CR24","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1016\/0893-6080(95)00120-4","volume":"9","author":"MM Moya","year":"1996","unstructured":"Moya, M.M., Hush, D.R.: Network constraints and multi-objective optimization for one-class classification. Neural Netw. 9(3), 463\u2013474 (1996)","journal-title":"Neural Netw."},{"key":"16_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/978-3-540-77094-7_41","volume-title":"Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers","author":"TD Nguyen","year":"2007","unstructured":"Nguyen, T.D., Kan, M.-Y.: Keyphrase extraction in scientific publications. In: Goh, D.H.-L., Cao, T.H., S\u00f8lvberg, I.T., Rasmussen, E. (eds.) ICADL 2007. LNCS, vol. 4822, pp. 317\u2013326. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-77094-7_41"},{"issue":"6","key":"16_CR26","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1016\/j.ipm.2018.06.004","volume":"54","author":"E Papagiannopoulou","year":"2018","unstructured":"Papagiannopoulou, E., Tsoumakas, G.: Local word vectors guiding keyphrase extraction. Inf. Process. Manag. 54(6), 888\u2013902 (2018). https:\/\/doi.org\/10.1016\/j.ipm.2018.06.004","journal-title":"Inf. Process. Manag."},{"key":"16_CR27","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011). https:\/\/dl.acm.org\/citation.cfm?id=2078195"},{"key":"16_CR28","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, Doha, Qatar, pp. 1532\u20131543 (2014). https:\/\/aclweb.org\/anthology\/D\/D14\/D14-1162.pdf","DOI":"10.3115\/v1\/D14-1162"},{"key":"16_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1007\/978-3-319-16354-3_42","volume-title":"Advances in Information Retrieval","author":"F Rousseau","year":"2015","unstructured":"Rousseau, F., Vazirgiannis, M.: Main core retention on graph-of-words for single-document keyword extraction. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds.) ECIR 2015. LNCS, vol. 9022, pp. 382\u2013393. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16354-3_42"},{"issue":"388","key":"16_CR30","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1080\/01621459.1984.10477105","volume":"79","author":"PJ Rousseeuw","year":"1984","unstructured":"Rousseeuw, P.J.: Least median of squares regression. J. Am. Stat. Assoc. 79(388), 871\u2013880 (1984). https:\/\/doi.org\/10.1080\/01621459.1984.10477105","journal-title":"J. Am. Stat. Assoc."},{"issue":"3","key":"16_CR31","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1080\/00401706.1999.10485670","volume":"41","author":"PJ Rousseeuw","year":"1999","unstructured":"Rousseeuw, P.J., van Driessen, K.: A fast algorithm for the minimum covariance determinant estimator. Technometrics 41(3), 212\u2013223 (1999)","journal-title":"Technometrics"},{"issue":"1","key":"16_CR32","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1002\/widm.2","volume":"1","author":"PJ Rousseeuw","year":"2011","unstructured":"Rousseeuw, P.J., Hubert, M.: Robust statistics for outlier detection. Wiley Interdisc. Rev.: Data Min. Knowl. Discov. 1(1), 73\u201379 (2011). https:\/\/doi.org\/10.1002\/widm.2","journal-title":"Wiley Interdisc. Rev.: Data Min. Knowl. Discov."},{"issue":"7","key":"16_CR33","doi-asserted-by":"publisher","first-page":"1443","DOI":"10.1162\/089976601750264965","volume":"13","author":"B Sch\u00f6lkopf","year":"2001","unstructured":"Sch\u00f6lkopf, B., Platt, J.C., Shawe-Taylor, J., Smola, A.J., Williamson, R.C.: Estimating the support of a high-dimensional distribution. Neural Comput. 13(7), 1443\u20131471 (2001)","journal-title":"Neural Comput."},{"key":"16_CR34","unstructured":"Sch\u00f6lkopf, B., Williamson, R.C., Smola, A.J., Shawe-Taylor, J., Platt, J.C.: Support vector method for novelty detection. In: Advances in Neural Information Processing Systems 12, NIPS Conference, Denver, Colorado, USA, 29 November\u20134 December 1999, pp. 582\u2013588 (1999). https:\/\/papers.nips.cc\/paper\/1723-support-vector-method-for-novelty-detection"},{"key":"16_CR35","unstructured":"Wan, X., Xiao, J.: Single document keyphrase extraction using neighborhood knowledge. In: Proceedings of the 23rd AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, pp. 855\u2013860 (2008). https:\/\/www.aaai.org\/Library\/AAAI\/2008\/aaai08-136.php"},{"key":"16_CR36","unstructured":"Wang, R., Liu, W., McDonald, C.: Corpus-independent generic keyphrase extraction using word embedding vectors. In: Software Engineering Research Conference (2014)"},{"key":"16_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/978-3-319-19548-3_21","volume-title":"Databases Theory and Applications","author":"R Wang","year":"2015","unstructured":"Wang, R., Liu, W., McDonald, C.: Using word embeddings to enhance keyword identification for scientific publications. In: Sharaf, M.A., Cheema, M.A., Qi, J. (eds.) ADC 2015. LNCS, vol. 9093, pp. 257\u2013268. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19548-3_21"},{"key":"16_CR38","doi-asserted-by":"publisher","unstructured":"Wille, L.T.: Review of \u201cLearning Kernel Classifiers: Theory and Algorithms by Ralf Herbrich\u201d. MIT Press, Cambridge (2002). 13\u201317, ISBN 026208306x, p. 384; and review of \u201clearning with kernels: support vector machines, regularization optimization and beyond by Bernhard Scholkopf and Alexander J. Smola\u201d. IT Press, Cambridge (2002). ISBN 0262194759, p. 644. SIGACT News 35(3) (2004). https:\/\/doi.org\/10.1145\/1027914.1027921","DOI":"10.1145\/1027914.1027921"}],"container-title":["Lecture Notes in Computer Science","Computational Linguistics and Intelligent Text Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-24337-0_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,25]],"date-time":"2023-02-25T12:10:18Z","timestamp":1677327018000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-24337-0_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031243363","9783031243370"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-24337-0_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"26 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICLing","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Linguistics and Intelligent Text Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"La Rochelle","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 April 2019","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":"cicling2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.cicling.org\/2019\/","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":"335","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":"95","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":"28% - 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":"2.3","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":"3.4","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)"}}]}}