{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:52:04Z","timestamp":1742914324483,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811561672"},{"type":"electronic","value":"9789811561689"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/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":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-6168-9_18","type":"book-chapter","created":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T12:39:31Z","timestamp":1593607171000},"page":"206-217","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection"],"prefix":"10.1007","author":[{"given":"Fei","family":"Wang","sequence":"first","affiliation":[]},{"given":"Robert J.","family":"Ross","sequence":"additional","affiliation":[]},{"given":"John D.","family":"Kelleher","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,2]]},"reference":[{"key":"18_CR1","unstructured":"Allan, J., Carbonell, J. G., Doddington, G., Yamron, J., Yang, Y.: Topic detection and tracking pilot study final report (1998)"},{"key":"18_CR2","unstructured":"Allan, J., Lavrenko, V., Malin, D., Swan, R.: Detections, bounds, and timelines: UMASS and TDT-3. In: Proceedings of Topic Detection and Tracking Workshop, pp. 167\u2013174, February 2000. sn"},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Brants, T., Chen, F., Farahat, A.: A system for new event detection. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 330\u2013337. ACM, July 2003","DOI":"10.1145\/860435.860495"},{"issue":"4","key":"18_CR4","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1093\/llc\/fqq018","volume":"25","author":"M Davies","year":"2010","unstructured":"Davies, M.: The corpus of contemporary american english as the first reliable monitor corpus of English. Liter. Linguist. Comput. 25(4), 447\u2013464 (2010)","journal-title":"Liter. Linguist. Comput."},{"issue":"2","key":"18_CR5","doi-asserted-by":"publisher","first-page":"121","DOI":"10.3366\/cor.2012.0024","volume":"7","author":"M Davies","year":"2012","unstructured":"Davies, M.: Expanding horizons in historical linguistics with the 400-million word Corpus of Historical American English. Corpora 7(2), 121\u2013157 (2012)","journal-title":"Corpora"},{"issue":"1","key":"18_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00762ED1V01Y201703HLT037","volume":"10","author":"Y Goldberg","year":"2017","unstructured":"Goldberg, Y.: Neural network methods for natural language processing. Synthesis Lect. Hum. Lang. Technol. 10(1), 1\u2013309 (2017)","journal-title":"Synthesis Lect. Hum. Lang. Technol."},{"key":"18_CR7","unstructured":"Kannan, J., Shanavas, A.M., Swaminathan, S.: Real time event detection adopting incremental TF-IDF based LSH and event summary generation. Int. J. Comput. Appl. 975, 8887"},{"key":"18_CR8","unstructured":"Leveau, V., Joly, A.: Adversarial autoencoders for novelty detection (2017)"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Ma, J., Perkins, S.: Online novelty detection on temporal sequences. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 613\u2013618. ACM, August 2003","DOI":"10.1145\/956750.956828"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Martin, A., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The DET curve in assessment of detection task performance. National Inst of Standards and Technology Gaithersburg MD (1997)","DOI":"10.21437\/Eurospeech.1997-504"},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Moran, S., McCreadie, R., Macdonald, C., Ounis, I.: Enhancing first story detection using word embeddings. In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 821\u2013824. ACM, July 2016","DOI":"10.1145\/2911451.2914719"},{"key":"18_CR12","unstructured":"Petrovi\u0107, S., Osborne, M., Lavrenko, V.: Streaming first story detection with application to Twitter. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 181\u2013189. Association for Computational Linguistics, June 2010"},{"key":"18_CR13","unstructured":"Petrovi\u0107, S., Osborne, M., Lavrenko, V. : Using paraphrases for improving first story detection in news and Twitter. In: Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 338\u2013346. Association for Computational Linguistics, June 2012"},{"key":"18_CR14","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.sigpro.2013.12.026","volume":"99","author":"MA Pimentel","year":"2014","unstructured":"Pimentel, M.A., Clifton, D.A., Clifton, L., Tarassenko, L.: A review of novelty detection. Sig. Process. 99, 215\u2013249 (2014)","journal-title":"Sig. Process."},{"issue":"7","key":"18_CR15","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":"18_CR16","doi-asserted-by":"crossref","unstructured":"Wang, F., Ross, R.J., Kelleher, J.D.: Bigger versus similar: selecting a background corpus for first story detection based on distributional similarity. In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 107\u2013116. Springer, Cham, November 2018","DOI":"10.26615\/978-954-452-056-4_150"},{"key":"18_CR17","unstructured":"Wang, F., Ross, R. J., Kelleher, J.D.: Exploring online novelty detection using first story detection models. In: Proceedings of International Conference Recent Advances in Natural Language Processing 2019, pp. 1312\u20131320 (2019)"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Wurzer, D., Lavrenko, V., Osborne, M.: Twitter-scale new event detection via k-term hashing. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 2584\u20132589, September 2015","DOI":"10.18653\/v1\/D15-1310"},{"key":"18_CR19","doi-asserted-by":"crossref","unstructured":"Yang, Y., Pierce, T., Carbonell, J.G.: A study on retrospective and on-line event detection (1998)","DOI":"10.1145\/290941.290953"}],"container-title":["Communications in Computer and Information Science","Computational Linguistics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-6168-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T15:36:20Z","timestamp":1667230580000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-6168-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811561672","9789811561689"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-6168-9_18","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"2 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PACLING","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of the Pacific Association for Computational Linguistics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","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":"11 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpacl2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pacling2019.fpt.edu.vn","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":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70","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":"28","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":"14","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":"40% - 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":"3","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)"}}]}}