{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T03:49:45Z","timestamp":1743133785352,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030298586"},{"type":"electronic","value":"9783030298593"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-29859-3_59","type":"book-chapter","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T16:03:53Z","timestamp":1566835433000},"page":"697-709","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Crowd-Powered Systems to Diminish the Effects of Semantic Drift"],"prefix":"10.1007","author":[{"given":"Saulo D. S.","family":"Pedro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"suffix":"Jr.","given":"Estevam R.","family":"Hruschka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,26]]},"reference":[{"issue":"4","key":"59_CR1","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1609\/aimag.v35i4.2513","volume":"35","author":"S Amershi","year":"2014","unstructured":"Amershi, S., Cakmak, M., Knox, W.B., Kulesza, T.: Power to the people: the role of humans in interactive machine learning. AI Magazine 35(4), 105\u2013120 (2014)","journal-title":"AI Magazine"},{"key":"59_CR2","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1007\/978-1-4939-2864-4_769","volume-title":"Encyclopedia of Algorithms","author":"M-F Balcan","year":"2016","unstructured":"Balcan, M.-F., Urner, R.: Active learning-modern learning theory. In: Kao, M.-Y. (ed.) Encyclopedia of Algorithms, pp. 8\u201313. Springer, New York (2016)"},{"issue":"1","key":"59_CR3","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/s13218-012-0233-0","volume":"27","author":"MS Bernstein","year":"2013","unstructured":"Bernstein, M.S.: Crowd-powered systems. KI-K\u00fcnstliche Intelligenz 27(1), 69\u201373 (2013)","journal-title":"KI-K\u00fcnstliche Intelligenz"},{"key":"59_CR4","doi-asserted-by":"crossref","unstructured":"Bernstein, M.S., et al.: Soylent: a word processor with a crowd inside. In: Proceedings of the 23nd Annual ACM Symposium on User Interface Software and Technology, pp. 313\u2013322. ACM (2010)","DOI":"10.1145\/1866029.1866078"},{"key":"59_CR5","doi-asserted-by":"crossref","unstructured":"Blum, A., Mitchell, T.: Combining labeled and unlabeled data with co-training. In: Proceedings of the Eleventh Annual Conference on Computational Learning Theory, pp. 92\u2013100. ACM (1998)","DOI":"10.1145\/279943.279962"},{"key":"59_CR6","doi-asserted-by":"crossref","unstructured":"Brade\u0161ko, L., Starc, J., Mladenic, D., Grobelnik, M., Witbrock, M.: Curious cat conversational crowd based and context aware knowledge acquisition chat bot. In: 2016 IEEE 8th International Conference on Intelligent Systems (IS), pp. 239\u2013252. IEEE (2016)","DOI":"10.1109\/IS.2016.7737428"},{"key":"59_CR7","unstructured":"Brew, A., Greene, D., Cunningham, P.: Using crowdsourcing and active learning to track sentiment in online media. In: ECAI, pp. 145\u2013150 (2010)"},{"key":"59_CR8","unstructured":"Callan, J., Hoy, M., Yoo, C., Zhao, L.: Clueweb09 data set (2009)"},{"key":"59_CR9","unstructured":"Carlson, A.: Coupled semi-supervised learning. Tech. rep., Machine Learning Department, Carnegie Mellon University (2010)"},{"key":"59_CR10","doi-asserted-by":"crossref","unstructured":"Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka Jr, E.R., Mitchell, T.M.: Toward an architecture for never-ending language learning. In: AAAI, vol. 5, p. 3 (2010)","DOI":"10.1609\/aaai.v24i1.7519"},{"key":"59_CR11","unstructured":"Curran, J.R., Murphy, T., Scholz, B.: Minimising semantic drift with mutual exclusion bootstrapping. In: Proceedings of the 10th Conference of the Pacific Association for Computational Linguistics, vol. 6, pp. 172\u2013180. Citeseer (2007)"},{"key":"59_CR12","unstructured":"Kamar, E., Hacker, S., Horvitz, E.: Combining human and machine intelligence in large-scale crowdsourcing. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, vol. 1, pp. 467\u2013474. International Foundation for Autonomous Agents and Multiagent Systems (2012)"},{"key":"59_CR13","unstructured":"Karger, D.R., Oh, S., Shah, D.: Iterative learning for reliable crowdsourcing systems. In: Advances in neural information processing systems, pp. 1953\u20131961 (2011)"},{"key":"59_CR14","doi-asserted-by":"crossref","unstructured":"Lasecki, W.S., Wesley, R., Nichols, J., Kulkarni, A., Allen, J.F., Bigham, J.P.: Chorus: a crowd-powered conversational assistant. In: Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, pp. 151\u2013162. ACM (2013)","DOI":"10.1145\/2501988.2502057"},{"issue":"11","key":"59_CR15","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1145\/219717.219745","volume":"38","author":"DB Lenat","year":"1995","unstructured":"Lenat, D.B.: CYC: a large-scale investment in knowledge infrastructure. Commun. ACM 38(11), 33\u201338 (1995)","journal-title":"Commun. ACM"},{"key":"59_CR16","doi-asserted-by":"crossref","unstructured":"McIntosh , T., Curran, J.R.: Reducing semantic drift with bagging and distributional similarity. In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pp. 396\u2013404 (2009)","DOI":"10.3115\/1687878.1687935"},{"key":"59_CR17","doi-asserted-by":"crossref","unstructured":"Pedro, S.D.S., Appel, A.P., Hruschka Jr, E.R.: Autonomously reviewing and validating the knowledge base of a never-ending learning system. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 1195\u20131204. ACM (2013)","DOI":"10.1145\/2487788.2488149"},{"key":"59_CR18","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/978-3-642-34654-5_24","volume-title":"Advances in Artificial Intelligence \u2013 IBERAMIA 2012","author":"SDS Pedro","year":"2012","unstructured":"Pedro, S.D.S., Hruschka, E.R.: Conversing learning: active learning and active social interaction for human supervision in never-ending learning systems. In: Pav\u00f3n, J., Duque-M\u00e9ndez, N.D., Fuentes-Fern\u00e1ndez, R. (eds.) IBERAMIA 2012. LNCS (LNAI), vol. 7637, pp. 231\u2013240. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-34654-5_24"},{"key":"59_CR19","doi-asserted-by":"crossref","unstructured":"Pedro, S.D.S., Hruschka Jr, E.R.: Collective intelligence as a source for machine learning self-supervision. In: Proceedings of the 4th International Workshop on Web Intelligence & Communities in conjunction with WWW 2012, p. 5. ACM (2012)","DOI":"10.1145\/2189736.2189744"},{"key":"59_CR20","unstructured":"Riloff, E., Jones, R., et al.: Learning dictionaries for information extraction by multi-level bootstrapping. In: AAAI\/IAAI, pp. 474\u2013479 (1999)"},{"issue":"55\u201366","key":"59_CR21","first-page":"11","volume":"52","author":"B Settles","year":"2010","unstructured":"Settles, B.: Active learning literature survey. University of Wisconsin, Madison 52(55\u201366), 11 (2010)","journal-title":"University of Wisconsin, Madison"},{"issue":"13","key":"59_CR22","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.14778\/2733004.2733024","volume":"7","author":"C Sun","year":"2014","unstructured":"Sun, C., Rampalli, N., Yang, F., Doan, A.H.: Chimera: Large-scale classification using machine learning, rules, and crowdsourcing. Proc. VLDB Endowment 7(13), 1529\u20131540 (2014)","journal-title":"Proc. VLDB Endowment"},{"issue":"5895","key":"59_CR23","doi-asserted-by":"publisher","first-page":"1465","DOI":"10.1126\/science.1160379","volume":"321","author":"L Von Ahn","year":"2008","unstructured":"Von Ahn, L., Maurer, B., McMillen, C., Abraham, D., Blum, M.: reCAPTCHA: human-based character recognition via web security measures. Science 321(5895), 1465\u20131468 (2008)","journal-title":"Science"},{"key":"59_CR24","doi-asserted-by":"crossref","unstructured":"Yangarber, R.: Counter-training in discovery of semantic patterns. In: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, vol. 1, pp. 343\u2013350. Association for Computational Linguistics (2003)","DOI":"10.3115\/1075096.1075140"},{"key":"59_CR25","doi-asserted-by":"crossref","unstructured":"Yarowsky, D.: Unsupervised word sense disambiguation rivaling supervised methods. In: 33rd Annual Meeting of the Association for Computational Linguistics (1995)","DOI":"10.3115\/981658.981684"},{"key":"59_CR26","unstructured":"Zaidan, O.F., Burch, C.C.: Crowdsourcing translation: professional quality from non-professionals. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol. 1, pp. 1220\u20131229. Association for Computational Linguistics (2011)"}],"container-title":["Lecture Notes in Computer Science","Hybrid Artificial Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29859-3_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:32:11Z","timestamp":1710268331000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-29859-3_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030298586","9783030298593"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29859-3_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"26 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Artificial Intelligence Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Le\u00f3n","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"4 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hais2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2019.haisconference.eu\/","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":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"134","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":"64","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":"48% - 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":"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)"}}]}}