{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:21:39Z","timestamp":1743135699057,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030295509"},{"type":"electronic","value":"9783030295516"}],"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\/978-3-030-29551-6_39","type":"book-chapter","created":{"date-parts":[[2019,8,20]],"date-time":"2019-08-20T12:04:02Z","timestamp":1566302642000},"page":"440-451","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Text Annotation Tool with Pre-annotation Based on Deep Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9535-7245","authenticated-orcid":false,"given":"Fei","family":"Teng","sequence":"first","affiliation":[]},{"given":"Minbo","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Zheng","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Lufei","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Ming","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Xuan","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,21]]},"reference":[{"key":"39_CR1","doi-asserted-by":"crossref","unstructured":"Marci\u0144czuk, M., Oleksy, M., Koco\u0144, J.: Inforex-a collaborative system for text corpora annotation and analysis. In: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP. INCOMA Shoumen, pp. 473\u2013482 (2017)","DOI":"10.26615\/978-954-452-049-6_063"},{"key":"39_CR2","doi-asserted-by":"crossref","unstructured":"Yang, J., Zhang, Y., Li, L., Li, X.: YEDDA: a lightweight collaborative text span annotation tool, arXiv preprint \narXiv:1711.03759\n\n (2017)","DOI":"10.18653\/v1\/P18-4006"},{"key":"39_CR3","unstructured":"Stenetorp, P., Pyysalo, S., Topi\u0107, G., Ohta, T., Ananiadou, S., Tsujii, J.: BRAT: a web-based tool for NLP-assisted text annotation. In: Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pp. 102\u2013107. Association for Computational Linguistics (2012)"},{"key":"39_CR4","unstructured":"Yu, X., Lam, W., Chan, S.-K., Wu, Y.K., Chen, B.: Chinese NER using CRFs and logic for the fourth SIGHAN bakeoff. In: Proceedings of the Sixth SIGHAN Workshop on Chinese Language Processing (2008)"},{"key":"39_CR5","doi-asserted-by":"crossref","unstructured":"Grishman, R., Sundheim, B.: Message understanding conference-6: a brief history. In: COLING 1996 Volume 1: The 16th International Conference on Computational Linguistics, vol. 1 (1996)","DOI":"10.3115\/992628.992709"},{"key":"39_CR6","unstructured":"Chen, W.-T., Styler, W.: Anafora: a web-based general purpose annotation tool. In: Proceedings of the Conference. Association for Computational Linguistics. North American Chapter. Meeting, vol. 2013, p. 14. NIH Public Access (2013)"},{"issue":"4","key":"39_CR7","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1007\/s10579-013-9215-6","volume":"47","author":"K Bontcheva","year":"2013","unstructured":"Bontcheva, K., et al.: Gate teamware: a web-based, collaborative text annotation framework. Lang. Res. Eval. 47(4), 1007\u20131029 (2013)","journal-title":"Lang. Res. Eval."},{"key":"39_CR8","unstructured":"Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V.: GATE: an architecture for development of robust HLT applications. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp. 168\u2013175. Association for Computational Linguistics (2002)"},{"issue":"3","key":"39_CR9","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1197\/jamia.M1733","volume":"12","author":"G Hripcsak","year":"2005","unstructured":"Hripcsak, G., Rothschild, A.S.: Agreement, the f-measure, and reliability in information retrieval. J. Am. Med. Inform. Assoc. 12(3), 296\u2013298 (2005)","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"39_CR10","doi-asserted-by":"crossref","unstructured":"Morton, T., LaCivita, J.: WordFreak: an open tool for linguistic annotation. In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Demonstrations-Volume 4, pp. 17\u201318. Association for Computational Linguistics (2003)","DOI":"10.3115\/1073427.1073436"},{"key":"39_CR11","doi-asserted-by":"crossref","unstructured":"Ogren, P.V.: Knowtator: a prot\u00e9g\u00e9 plug-in for annotated corpus construction. In: Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Companion Volume: Demonstrations, pp. 273\u2013275. Association for Computational Linguistics (2006)","DOI":"10.3115\/1225785.1225791"},{"key":"39_CR12","unstructured":"Noy, N.F., et al.: Prot\u00e9g\u00e9-2000: an open-source ontology-development and knowledge-acquisition environment. In: AMIA... Annual Symposium Proceedings. AMIA Symposium, vol. 2003, p. 953. American Medical Informatics Association (2003)"},{"key":"39_CR13","unstructured":"Alonso, H.M., Johannsen, A., Plank, B.: Supersense tagging with inter-annotator disagreement. In: Linguistic Annotation Workshop 2016, pp. 43\u201348 (2016)"},{"key":"39_CR14","doi-asserted-by":"crossref","unstructured":"Saito, K., Nagata, M.: Multi-language named-entity recognition system based on HMM. In: Proceedings of the ACL 2003 Workshop on Multilingual and Mixed-Language Named Entity Recognition-Volume 15, pp. 41\u201348. Association for Computational Linguistics (2003)","DOI":"10.3115\/1119384.1119390"},{"key":"39_CR15","unstructured":"Huang, Z., Xu, W., Yu, K.: Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint \narXiv:1508.01991\n\n (2015)"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29551-6_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,22]],"date-time":"2020-02-22T09:07:09Z","timestamp":1582362429000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29551-6_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030295509","9783030295516"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29551-6_39","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":"21 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","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":"28 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ksem.conferences.academy\/index.html","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":"240","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":"77","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":"26","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":"32% - 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)"}}]}}