乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T21:00:02Z","timestamp":1726088402073},"publisher-location":"Singapore","reference-count":17,"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_33","type":"book-chapter","created":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T12:39:31Z","timestamp":1593607171000},"page":"400-413","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture"],"prefix":"10.1007","author":[{"given":"Duc-Vu","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Dang","family":"Van Thin","sequence":"additional","affiliation":[]},{"given":"Kiet","family":"Van Nguyen","sequence":"additional","affiliation":[]},{"given":"Ngan Luu-Thuy","family":"Nguyen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,2]]},"reference":[{"key":"33_CR1","unstructured":"Dinh, D., Hoang, K., Nguyen, V.T.: Vietnamese word segmentation. In: Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, pp. 749\u2013756 (2001)"},{"key":"33_CR2","first-page":"1871","volume":"9","author":"RE Fan","year":"2008","unstructured":"Fan, R.E., Chang, K.W., Hsieh, C.J., Wang, X.R., Lin, C.J.: LIBLINEAR: a library for large linear classification. J. Mach. Learn. Res. 9, 1871\u20131874 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"33_CR3","unstructured":"Ha, L.A.: A method for word segmentation in Vietnamese. In: Proceedings of the Corpus Linguistics 2003 Conference, pp. 282\u2013287 (2003)"},{"key":"33_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1007\/978-3-540-88282-4_23","volume-title":"Language and Automata Theory and Applications","author":"L H\u00f4ng Phuong","year":"2008","unstructured":"H\u00f4ng Phuong, L., Thi Minh Huy\u00ean, N., Roussanaly, A., Vinh, H.T.: A hybrid approach to word segmentation of Vietnamese texts. In: Mart\u00edn-Vide, C., Otto, F., Fernau, H. (eds.) LATA 2008. LNCS, vol. 5196, pp. 240\u2013249. Springer, Heidelberg (2008). \nhttps:\/\/doi.org\/10.1007\/978-3-540-88282-4_23"},{"key":"33_CR5","unstructured":"Le, H.P., Roussanaly, A., Nguyen, T.M.H., Rossignol, M.: An empirical study of maximum entropy approach for part-of-speech tagging of Vietnamese texts. In: Traitement Automatique des Langues Naturelles - TALN 2010, p. 12. ATALA (Association pour le Traitement Automatique des Langues), Montr\u00e9al, Canada (2010)"},{"key":"33_CR6","unstructured":"Luu, T.A., Yamamoto, K.: \u00da\u2019ng d\u1ee5ng phu\u2019o\u2019ng ph\u00e1p Pointwise v\u00e0o b\u00e0i to\u00e1n t\u00e1ch t\u00f9\u2019cho tieng Viet (2012). \nhttp:\/\/www.vietlex.com\/xu-li-ngon-ngu\/117-Ung_dung_phuong_phap_Pointwise_vao_bai_toan_tach_tu_cho_tieng_Viet"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Nghiem, M., Dinh, D., Nguyen, M.: Improving Vietnamese POS tagging by integrating a rich feature set and support vector machines. In: 2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing and Communication Technologies, pp. 128\u2013133 (2008)","DOI":"10.1109\/RIVF.2008.4586344"},{"key":"33_CR8","unstructured":"Nguyen, C.T., Nguyen, T.K., Phan, X.H., Nguyen, L.M., Ha, Q.T.: Vietnamese word segmentation with CRFs and SVMs: an investigation. In: The 20th Pacific Asia Conference on Language. Information and Computation: Proceedings of the Conference, pp. 215\u2013222. Tsinghua University Press, Huazhong Normal University, Wuhan (2006)"},{"key":"33_CR9","unstructured":"Nguyen, D.Q., Nguyen, D.Q., Vu, T., Dras, M., Johnson, M.: A fast and accurate Vietnamese word segmenter. In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018), pp. 2582\u20132587 (2018)"},{"key":"33_CR10","unstructured":"Nguyen, D.Q., Vu, T., Nguyen, D.Q., Dras, M., Johnson, M.: From word segmentation to POS tagging for Vietnamese. In: Proceedings of the Australasian Language Technology Association Workshop 2017, pp. 108\u2013113. Brisbane (2017)"},{"key":"33_CR11","volume-title":"Vietnamese. London Oriental and African Language Library","author":"DH Nguyen","year":"1997","unstructured":"Nguyen, D.H.: Vietnamese. London Oriental and African Language Library. John Benjamins, Amsterdam (1997)"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Nguyen, P.T., Vu, X.L., Nguyen, T.M.H., Nguyen, V.H., Le, H.P.: Building a large syntactically-annotated corpus of Vietnamese. In: Proceedings of the Third Linguistic Annotation Workshop, ACL-IJCNLP 2009, pp. 182\u2013185. Association for Computational Linguistics (2009)","DOI":"10.3115\/1698381.1698416"},{"key":"33_CR13","unstructured":"Nguyen, Q.T., Nguyen, N.L., Miyao, Y.: Comparing different criteria for Vietnamese word segmentation. In: Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing, pp. 53\u201368. The COLING 2012 Organizing Committee, Mumbai (2012)"},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Nguyen, T.P., Le, A.C.: A hybrid approach to Vietnamese word segmentation. In: 2016 IEEE RIVF International Conference on Computing Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), pp. 114\u2013119 (2016)","DOI":"10.1109\/RIVF.2016.7800279"},{"key":"33_CR15","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"33_CR16","doi-asserted-by":"crossref","unstructured":"Pham, D.D., Tran, G.B., Pham, S.B.: A hybrid approach to Vietnamese word segmentation using part of speech tags. In: 2009 International Conference on Knowledge and Systems Engineering, pp. 154\u2013161 (2009)","DOI":"10.1109\/KSE.2009.44"},{"issue":"3","key":"33_CR17","doi-asserted-by":"publisher","first-page":"3\\_41","DOI":"10.5715\/jnlp.17.3_41","volume":"17","author":"OT Tran","year":"2010","unstructured":"Tran, O.T., Le, C.A., Ha, T.Q.: Improving Vietnamese word segmentation and POS tagging using MEM with various kinds of resources. J. Nat. Lang. Process. 17(3), 3\\_41\u20133\\_60 (2010). \nhttps:\/\/doi.org\/10.5715\/jnlp.17.3_41","journal-title":"J. Nat. Lang. Process."}],"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_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T12:45:05Z","timestamp":1593607505000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-6168-9_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811561672","9789811561689"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-6168-9_33","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)"}}]}}