{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T02:28:59Z","timestamp":1750386539780,"version":"3.41.0"},"reference-count":8,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2018,2,14]],"date-time":"2018-02-14T00:00:00Z","timestamp":1518566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Development of Knowledge Evolutionary WiseQA Platform Technology for Human Knowledge Augmented Services","award":["2013-0-00131"],"award-info":[{"award-number":["2013-0-00131"]}]},{"name":"Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT 8 Future Planning","award":["NRF-2016R1C1B1014124"],"award-info":[{"award-number":["NRF-2016R1C1B1014124"]}]},{"name":"Institute for Information 8 Communications Technology Promotion"},{"name":"Korean Government"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2018,9,30]]},"abstract":"<jats:p>In this article, we introduce a novel neural architecture for the end-to-end Korean Part-of-Speech (POS) tagging problem. To address the problem, we extend the present recurrent neural network-based sequence-to-sequence models to deal with the key challenges in this task: rare word generation and POS tagging. To overcome these issues, Input-Feeding and Copying mechanism are adopted. Although our approach does not require any manual features or preprocessed pattern matching dictionaries, our best single model achieves an F-score of 97.08. This is competitive with the current state-of-the-art model (F-score 98.03), which requires extensive manual feature processing.<\/jats:p>","DOI":"10.1145\/3178458","type":"journal-article","created":{"date-parts":[[2018,2,14]],"date-time":"2018-02-14T17:04:45Z","timestamp":1518627885000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["End-to-End Korean Part-of-Speech Tagging Using Copying Mechanism"],"prefix":"10.1145","volume":"17","author":[{"given":"Sangkeun","family":"Jung","sequence":"first","affiliation":[{"name":"SK telecom"}]},{"given":"Changki","family":"Lee","sequence":"additional","affiliation":[{"name":"Kangwon National University"}]},{"given":"Hyunsun","family":"Hwang","sequence":"additional","affiliation":[{"name":"Kangwon National University"}]}],"member":"320","published-online":{"date-parts":[[2018,2,14]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1154"},{"key":"e_1_2_1_2_1","unstructured":"Hyunsun Hwang and Changki Lee. 2016. Korean phrase structure parsing using sequence-to-sequence learning. In HCLT.  Hyunsun Hwang and Changki Lee. 2016. Korean phrase structure parsing using sequence-to-sequence learning. In HCLT."},{"key":"e_1_2_1_3_1","first-page":"826","article-title":"Joint models for korean word spacing and POS tagging using structural SVM","volume":"40","author":"Lee Changki","year":"2013","journal-title":"J. KIISE: Softw. Appl."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5626\/JOK.2017.44.1.57"},{"volume-title":"Manning","year":"2015","author":"Luong Minh-Thang","key":"e_1_2_1_5_1"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2700051"},{"volume-title":"Korea Computer Congress. 571--573","year":"2014","author":"Na Seung-Hoon","key":"e_1_2_1_7_1"},{"key":"e_1_2_1_8_1","unstructured":"Oriol Vinyals \u0141ukasz Kaiser Terry Koo Slav Petrov Ilya Sutskever and Geoffrey Hinton. 2015. Grammar as a foreign language. In Advances in Neural Information Processing Systems. 2773--2781.   Oriol Vinyals \u0141ukasz Kaiser Terry Koo Slav Petrov Ilya Sutskever and Geoffrey Hinton. 2015. Grammar as a foreign language. In Advances in Neural Information Processing Systems. 2773--2781."}],"container-title":["ACM Transactions on Asian and Low-Resource Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3178458","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3178458","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:07Z","timestamp":1750210747000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3178458"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,14]]},"references-count":8,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,9,30]]}},"alternative-id":["10.1145\/3178458"],"URL":"https:\/\/doi.org\/10.1145\/3178458","relation":{},"ISSN":["2375-4699","2375-4702"],"issn-type":[{"type":"print","value":"2375-4699"},{"type":"electronic","value":"2375-4702"}],"subject":[],"published":{"date-parts":[[2018,2,14]]},"assertion":[{"value":"2017-05-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2017-12-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-02-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}