{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:03:12Z","timestamp":1740099792510,"version":"3.37.3"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003665","name":"National IT Industry Promotion Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,21]]},"DOI":"10.1109\/ictc49870.2020.9289467","type":"proceedings-article","created":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T22:58:16Z","timestamp":1608591496000},"page":"1336-1338","source":"Crossref","is-referenced-by-count":3,"title":["A Performance Comparison among Different Amounts of Context on Deep Learning Based Intent Classification Models"],"prefix":"10.1109","author":[{"given":"Minyoung","family":"Jung","sequence":"first","affiliation":[]},{"given":"Jieun","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Jin Yea","family":"Jang","sequence":"additional","affiliation":[]},{"given":"Hyedong","family":"Jung","sequence":"additional","affiliation":[]},{"given":"Saim","family":"Shin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Query intent detection using convolutional neural networks","author":"hashemi","year":"2016","journal-title":"Proceedings of the 9th ACM International Conference on Web Search and Data Mining Workshop on Query Understanding"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"135","DOI":"10.21437\/Interspeech.2015-42","article-title":"Recurrent neural network and lstm models for lexical utterance classification","author":"ravuri","year":"2015","journal-title":"INTERSPEECH16 2015"},{"journal-title":"KoNLPy","year":"2020","key":"ref12"},{"journal-title":"fastText","year":"2020","key":"ref13"},{"key":"ref4","first-page":"649","article-title":"Character-level convolutional networks for text classification","author":"zhang","year":"2015","journal-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1 ser NIPS&#x2019;15"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2005.1556215"},{"key":"ref5","first-page":"135","article-title":"Recurrent neural network and lstm models for lexical utterance classification","author":"ravuri","year":"2015","journal-title":"Proc Interspeech ISCA - International Speech Communication Association"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03784-9_13"},{"key":"ref7","first-page":"2267","article-title":"Recurrent convolutional neural networks for text classification","author":"lai","year":"2015","journal-title":"Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence ser AAAI&#x2019;15"},{"key":"ref2","article-title":"A rule based approach to extraction of topics and dialog acts in a spoken dialog system","author":"niimi","year":"2001","journal-title":"InterSpeech"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3115\/981574.981582"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2016.7846297"}],"event":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","start":{"date-parts":[[2020,10,21]]},"location":"Jeju, Korea (South)","end":{"date-parts":[[2020,10,23]]}},"container-title":["2020 International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9289075\/9289076\/09289467.pdf?arnumber=9289467","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T07:12:57Z","timestamp":1670483577000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9289467\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,21]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/ictc49870.2020.9289467","relation":{},"subject":[],"published":{"date-parts":[[2020,10,21]]}}}