{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T21:06:36Z","timestamp":1761599196069,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T00:00:00Z","timestamp":1575590400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,12,6]]},"DOI":"10.1145\/3374587.3374611","type":"proceedings-article","created":{"date-parts":[[2020,3,4]],"date-time":"2020-03-04T18:16:31Z","timestamp":1583345791000},"page":"107-111","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["An Ensemble Deep Active Learning Method for Intent Classification"],"prefix":"10.1145","author":[{"given":"Leihan","family":"Zhang","sequence":"first","affiliation":[{"name":"Wangxuan Institute of Computer Technology, Peking University, Beijing, P. R. China, Yonyou Network Co Ltd, Beijing, P. R. China"}]},{"given":"Le","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing, P. R. China"}]}],"member":"320","published-online":{"date-parts":[[2020,3,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.","author":"Devlin J.","year":"2018","unstructured":"Devlin , J. , Chang , M.W. , Lee , K. and Toutanova , K . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805. Devlin, J., Chang, M.W., Lee, K. and Toutanova, K. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805."},{"key":"e_1_3_2_1_2_1","unstructured":"Lin R. Costello C. and Jankowski C. 2018. Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques. arXiv preprint arXiv:1805.08914.  Lin R. Costello C. and Jankowski C. 2018. Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques. arXiv preprint arXiv:1805.08914."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Wang Y. Tang L. and He T. 2018. Attention-based CNN-BLSTM networks for joint intent detection and slot filling. In Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data 250--261.  Wang Y. Tang L. and He T. 2018. Attention-based CNN-BLSTM networks for joint intent detection and slot filling. In Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data 250--261.","DOI":"10.1007\/978-3-030-01716-3_21"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Gupta A. Hewitt J. Kirchhoff K. 2019. Simple Fast Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems. arXiv preprint arXiv:1903.08268.  Gupta A. Hewitt J. Kirchhoff K. 2019. Simple Fast Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems. arXiv preprint arXiv:1903.08268.","DOI":"10.18653\/v1\/W19-5906"},{"key":"e_1_3_2_1_5_1","unstructured":"Chen Q. Zhuo Z. and Wang W. 2019. BERT for Joint Intent Classification and Slot Filling. arXiv preprint arXiv:1902.10909.  Chen Q. Zhuo Z. and Wang W. 2019. BERT for Joint Intent Classification and Slot Filling. arXiv preprint arXiv:1902.10909."},{"key":"e_1_3_2_1_6_1","first-page":"2","article-title":"2019","volume":"1","author":"Zhao Z. Y.","year":"2019","unstructured":"Zhao Z. Y. , Zhang W. N. , Che W. X. , Chen Z. G. , and Zhang Y. B . 2019 . An Evaluation of Chinese Human-Computer Dialogue Technology. Data Intelligence. 1 , 2 ( April 2019 ), 187--200. Zhao Z. Y., Zhang W. N., Che W. X., Chen Z. G., and Zhang Y. B. 2019. An Evaluation of Chinese Human-Computer Dialogue Technology. Data Intelligence. 1, 2 (April 2019), 187--200.","journal-title":"An Evaluation of Chinese Human-Computer Dialogue Technology. Data Intelligence."},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the 6th International Conference on Learning Representations","author":"Sener O.","year":"2018","unstructured":"Sener , O. , and Savarese , S . 2017. Active learning for convolutional neural networks: A core-set approach . In Proceedings of the 6th International Conference on Learning Representations ( Vancouver, BC, Canada, April 30- May 3, 2018 ), 1--13. Sener, O., and Savarese, S. 2017. Active learning for convolutional neural networks: A core-set approach. In Proceedings of the 6th International Conference on Learning Representations (Vancouver, BC, Canada, April 30-May 3, 2018), 1--13."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning -","volume":"70","author":"Yarin G.","unstructured":"Yarin G. , Riashat I. , and Zoubin G . 2017. Deep Bayesian active learning with image data . In Proceedings of the 34th International Conference on Machine Learning - Volume 70 (ICML'17), 1183--1192. Yarin G., Riashat I., and Zoubin G. 2017. Deep Bayesian active learning with image data. In Proceedings of the 34th International Conference on Machine Learning - Volume 70 (ICML'17), 1183--1192."},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the 2014 International joint conference on neural networks","author":"Wang D.","year":"2014","unstructured":"Wang , D. and Shang , Y . 2014. A new active labeling method for deep learning . In Proceedings of the 2014 International joint conference on neural networks ( Beijing, China , July 6-11, 2014 ), 112--119. Wang, D. and Shang, Y. 2014. A new active labeling method for deep learning. In Proceedings of the 2014 International joint conference on neural networks (Beijing, China, July 6-11, 2014), 112--119."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1318"},{"key":"e_1_3_2_1_11_1","unstructured":"Vaswani A. Shazeer N. Parmar N. Uszkoreit J. Jones L. Gomez A.N. Kaiser L. and Polosukhin I. 2017. Attention is all you need. In Advances in neural information processing systems 5998--6008.  Vaswani A. Shazeer N. Parmar N. Uszkoreit J. Jones L. Gomez A.N. Kaiser L. and Polosukhin I. 2017. Attention is all you need. In Advances in neural information processing systems 5998--6008."},{"key":"e_1_3_2_1_12_1","unstructured":"Cui Y. Che W. Liu T. Qin B. Yang Z. Wang S. and Hu G. 2019. Pre-Training with Whole Word Masking for Chinese BERT. arXiv preprint arXiv:1906.08101.  Cui Y. Che W. Liu T. Qin B. Yang Z. Wang S. and Hu G. 2019. Pre-Training with Whole Word Masking for Chinese BERT. arXiv preprint arXiv:1906.08101."},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning","author":"Ducoffe M.","year":"2018","unstructured":"Ducoffe , M. and Precioso , F . 2018. Adversarial active learning for deep networks: a margin-based approach . In Proceedings of the 35th International Conference on Machine Learning ( Stockholm, Sweden, PMLR 80 , 2018 ), 1--10. Ducoffe, M. and Precioso, F. 2018. Adversarial active learning for deep networks: a margin-based approach. In Proceedings of the 35th International Conference on Machine Learning (Stockholm, Sweden, PMLR 80, 2018), 1--10."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-1352"}],"event":{"name":"CSAI2019: 2019 3rd International Conference on Computer Science and Artificial Intelligence","sponsor":["Shenzhen University Shenzhen University"],"location":"Normal IL USA","acronym":"CSAI2019"},"container-title":["Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3374587.3374611","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3374587.3374611","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:44Z","timestamp":1750203884000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3374587.3374611"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,6]]},"references-count":14,"alternative-id":["10.1145\/3374587.3374611","10.1145\/3374587"],"URL":"https:\/\/doi.org\/10.1145\/3374587.3374611","relation":{},"subject":[],"published":{"date-parts":[[2019,12,6]]},"assertion":[{"value":"2020-03-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}