{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T06:51:33Z","timestamp":1743058293683,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319501260"},{"type":"electronic","value":"9783319501277"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-50127-7_9","type":"book-chapter","created":{"date-parts":[[2016,11,29]],"date-time":"2016-11-29T01:04:06Z","timestamp":1480381446000},"page":"113-124","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Generative Deep Learning for Generating Korean Abbreviations"],"prefix":"10.1007","author":[{"given":"Su Jeong","family":"Choi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A-Yeong","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seong-Bae","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Se-Young","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,11,29]]},"reference":[{"issue":"4","key":"9_CR1","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1093\/bioinformatics\/btg439","volume":"20","author":"E Adar","year":"2004","unstructured":"Adar, E.: SaRAD: a simple and robust abbreviation dictionary. Bioinformatics 20(4), 527\u2013533 (2004)","journal-title":"Bioinformatics"},{"doi-asserted-by":"crossref","unstructured":"Cho, K., Merri\u00ebnboer, V., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y.: Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. arXiv preprint arXiv:1406.1078 (2014)","key":"9_CR2","DOI":"10.3115\/v1\/D14-1179"},{"doi-asserted-by":"crossref","unstructured":"Graves, A., Mohamed, A., Hinton, G.: Speech recognition with deep recurrent neural networks. In: Proceedings of 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 6645\u20136649 (2013)","key":"9_CR3","DOI":"10.1109\/ICASSP.2013.6638947"},{"issue":"8","key":"9_CR4","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"issue":"15","key":"9_CR5","first-page":"1","volume":"10","author":"C Kuo","year":"2009","unstructured":"Kuo, C., Ling, M., Lin, K., Hsu, C.: BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature. BMC Bioinform. 10(15), 1\u201310 (2009)","journal-title":"BMC Bioinform."},{"doi-asserted-by":"crossref","unstructured":"Larkey, S., Ogilvie, P., Price, A., Tamilio, B.: Acrophile: an automated acronym extractor and server. In: Proceedings of the Fifth ACM Conference on Digital Libraries, pp. 205\u2013214 (2000)","key":"9_CR6","DOI":"10.1145\/336597.336664"},{"doi-asserted-by":"crossref","unstructured":"Moses, L., Ehrenreich, L.: Abbreviations for automated systems1. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 25, pp. 132\u2013135 (1981)","key":"9_CR7","DOI":"10.1177\/107118138102500134"},{"issue":"24","key":"9_CR8","doi-asserted-by":"publisher","first-page":"3089","DOI":"10.1093\/bioinformatics\/btl534","volume":"22","author":"N Okazaki","year":"2006","unstructured":"Okazaki, N., Ananiadou, S.: Building an abbreviation dictionary using a term recognition approach. Bioinformatics 22(24), 3089\u20133095 (2006)","journal-title":"Bioinformatics"},{"doi-asserted-by":"crossref","unstructured":"Pakhomov, S.: Semi-supervised maximum entropy based approach to acronym and abbreviation normalization in medical texts. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp. 160\u2013167 (2002)","key":"9_CR9","DOI":"10.3115\/1073083.1073111"},{"key":"9_CR10","first-page":"637","volume":"6","author":"Y Park","year":"2013","unstructured":"Park, Y., Kang, S., Yoo, B., Seo, J.: Title named entity recognition using wikipedia and making acronym. Korea Comput. Congr. 6, 637\u2013639 (2013)","journal-title":"Korea Comput. Congr."},{"issue":"2","key":"9_CR11","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/s10489-009-0197-4","volume":"34","author":"D S\u00e1nchez","year":"2011","unstructured":"S\u00e1nchez, D., Isern, D.: Automatic extraction of acronym definitions from the Web. Appl. Intell. 34(2), 311\u2013327 (2011)","journal-title":"Appl. Intell."},{"key":"9_CR12","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1002\/1097-4679(196201)18:1<77::AID-JCLP2270180124>3.0.CO;2-R","volume":"18","author":"P Satx","year":"1962","unstructured":"Satx, P., Mogel, S.: An abbreviation of the WAIS for clinical use. J. Clin. Psychol. 18, 77\u201379 (1962)","journal-title":"J. Clin. Psychol."},{"unstructured":"Sutskever, I., Vinyals, O., Le, V.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems, pp. 3104\u20133112 (2014)","key":"9_CR13"},{"unstructured":"Vinyals, O., Le, Q.: A Neural Conversational Model. arXiv preprint arXiv:1506.05869 (2015)","key":"9_CR14"},{"unstructured":"Yoon, Y., Song, Y., Lee, J., Lim, H.: Construction of Korean acronym dictionary by considering ways of making acronym from definition. In: Proceedings of the Korean Society for Cognitive Science Conference (2006)","key":"9_CR15"},{"issue":"2","key":"9_CR16","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1093\/bioinformatics\/16.2.169","volume":"16","author":"M Yoshida","year":"2000","unstructured":"Yoshida, M., Fukuda, K., Takagi, T.: PNAD-CSS: a workbench for constructing a protein name abbreviation dictionary. Bioinformatics 16(2), 169\u2013175 (2000)","journal-title":"Bioinformatics"}],"container-title":["Lecture Notes in Computer Science","AI 2016: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-50127-7_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:03:50Z","timestamp":1699297430000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-50127-7_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319501260","9783319501277"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-50127-7_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"29 November 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Joint Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hobart, TAS","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausai2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ai2016.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}