{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:42:03Z","timestamp":1742974923853,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"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_38","type":"book-chapter","created":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T12:39:31Z","timestamp":1593607171000},"page":"469-482","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Transfer Learning for Information Extraction with Limited Data"],"prefix":"10.1007","author":[{"given":"Minh-Tien","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Viet-Anh","family":"Phan","sequence":"additional","affiliation":[]},{"given":"Le Thai","family":"Linh","sequence":"additional","affiliation":[]},{"given":"Nguyen Hong","family":"Son","sequence":"additional","affiliation":[]},{"given":"Le Tien","family":"Dung","sequence":"additional","affiliation":[]},{"given":"Miku","family":"Hirano","sequence":"additional","affiliation":[]},{"given":"Hajime","family":"Hotta","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,2]]},"reference":[{"key":"38_CR1","doi-asserted-by":"crossref","unstructured":"Deng, L., Liu, Y.: Deep Learning in Natural Language Processing. Amazon Digital Services LLC (2018)","DOI":"10.1007\/978-981-10-5209-5"},{"key":"38_CR2","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint \narXiv:1810.04805\n\n (2018)"},{"key":"38_CR3","doi-asserted-by":"crossref","unstructured":"Finkel, J.R., Manning, C.D.: Nested named entity recognition. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1, vol. 1, pp. 141\u2013150. Association for Computational Linguistics (2009)","DOI":"10.3115\/1699510.1699529"},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Fleischman, M., Hovy, E.: Fine grained classification of named entities. In: Proceedings of the 19th International Conference on Computational linguistics-Volume 1, pp. 1\u20137. Association for Computational Linguistics (2002)","DOI":"10.3115\/1072228.1072358"},{"key":"38_CR5","volume-title":"Spoken Language Understanding: Systems for Extracting Semantic Information from Speech","author":"RDM Gokhan Tur","year":"2011","unstructured":"Gokhan Tur, R.D.M.: Spoken Language Understanding: Systems for Extracting Semantic Information from Speech. Wiley, New York (2011)"},{"key":"38_CR6","volume-title":"Digital Transformation: Build Your Organization\u2019s Future for the Innovation Age","author":"L Herbert","year":"2017","unstructured":"Herbert, L.: Digital Transformation: Build Your Organization\u2019s Future for the Innovation Age. Bloomsbury Business, London (2017)"},{"key":"38_CR7","doi-asserted-by":"crossref","unstructured":"Ju, M., Miwa, M., Ananiadou, S.: A neural layered model for nested named entity recognition. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), vol. 1, pp. 1446\u20131459 (2018)","DOI":"10.18653\/v1\/N18-1131"},{"key":"38_CR8","doi-asserted-by":"crossref","unstructured":"Andrew, J.J., Tannier, X.: Automatic extraction of entities and relation from legal documents. In: Proceedings of the Seventh Named Entities Workshop, pp. 1\u20138 (2018)","DOI":"10.18653\/v1\/W18-2401"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., Dyer, C.: Neural architectures for named entity recognition. arXiv preprint \narXiv:1603.01360\n\n (2016)","DOI":"10.18653\/v1\/N16-1030"},{"key":"38_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1007\/11880592_49","volume-title":"Information Retrieval Technology","author":"C Lee","year":"2006","unstructured":"Lee, C., et al.: Fine-grained named entity recognition using conditional random fields for question answering. In: Ng, H.T., Leong, M.-K., Kan, M.-Y., Ji, D. (eds.) AIRS 2006. LNCS, vol. 4182, pp. 581\u2013587. Springer, Heidelberg (2006). \nhttps:\/\/doi.org\/10.1007\/11880592_49"},{"key":"38_CR11","unstructured":"McKinsey Global Institute: A future that works: automation, employment and productivity (2017). \nhttps:\/\/www.mckinsey.com\/~\/media\/mckinsey\/featured%20insights\/Digital%20Disruption\/Harnessing%20automation%20for%20a%20future%20that%20works\/MGI-A-future-that-works-Executive-summary.ashx"},{"issue":"10","key":"38_CR12","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2010). \nhttps:\/\/doi.org\/10.1109\/TKDE.2009.191","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"38_CR14","doi-asserted-by":"crossref","unstructured":"Shimaoka, S., Stenetorp, P., Inui, K., Riedel, S.: An attentive neural architecture for fine-grained entity type classification. arXiv preprint \narXiv:1604.05525\n\n (2016)","DOI":"10.18653\/v1\/W16-1313"},{"issue":"5","key":"38_CR15","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1109\/TMI.2016.2528162","volume":"35","author":"HC Shin","year":"2016","unstructured":"Shin, H.C., et al.: Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning. IEEE Tran. Med. Imaging 35(5), 1285\u20131298 (2016)","journal-title":"IEEE Tran. Med. Imaging"},{"key":"38_CR16","unstructured":"Watanabe, Y., Asahara, M., Matsumoto, Y.: A graph-based approach to named entity categorization in Wikipedia using conditional random fields. In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) (2007)"},{"issue":"1","key":"38_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-016-0043-6","volume":"3","author":"K Weiss","year":"2016","unstructured":"Weiss, K., Khoshgoftaar, T.M., Wang, D.D.: A survey of transfer learning. J. Big Data 3(1), 1\u201340 (2016). \nhttps:\/\/doi.org\/10.1186\/s40537-016-0043-6","journal-title":"J. Big Data"},{"key":"38_CR18","volume-title":"Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence","author":"WH Inmon","year":"2007","unstructured":"Inmon, W.H., Nesavich, A.: Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence. Prentice Hall, Upper Saddle River (2007)"}],"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_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T12:46:21Z","timestamp":1593607581000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-6168-9_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811561672","9789811561689"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-6168-9_38","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)"}}]}}