{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:09:50Z","timestamp":1750219790833,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"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":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591843","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:59Z","timestamp":1689726179000},"page":"3305-3309","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Data-centric Solution to Improve Online Performance of Customer Service Bots"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4201-5919","authenticated-orcid":false,"given":"Sen","family":"Hu","sequence":"first","affiliation":[{"name":"Ant Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8556-4068","authenticated-orcid":false,"given":"Changlin","family":"Yang","sequence":"additional","affiliation":[{"name":"Ant Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3599-3282","authenticated-orcid":false,"given":"Junjie","family":"Wang","sequence":"additional","affiliation":[{"name":"Ant Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2008-6979","authenticated-orcid":false,"given":"Siye","family":"Liu","sequence":"additional","affiliation":[{"name":"Ant Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5997-5095","authenticated-orcid":false,"given":"Teng","family":"Xu","sequence":"additional","affiliation":[{"name":"Ant Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6300-5559","authenticated-orcid":false,"given":"Wangshu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ant Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0083-5146","authenticated-orcid":false,"given":"Jing","family":"Zheng","sequence":"additional","affiliation":[{"name":"Ant Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1609\/aaai.v34i08.7017"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.18653\/v1\/D19-1201"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_3_1","DOI":"10.18653\/v1\/2020.findings-emnlp.58"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.18653\/v1\/2020.coling-industry.3"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1214\/aos"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.18653\/v1\/2020.emnlp-main.28"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1109\/ICASSP40776.2020.9053728"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1109\/TPAMI.2018.2889473"},{"key":"e_1_3_2_1_10_1","volume-title":"Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents. CoRR","author":"Park Dookun","year":"2020","unstructured":"Dookun Park, Hao Yuan, Dongmin Kim, Yinglei Zhang, Spyros Matsoukas, Young-Bum Kim, Ruhi Sarikaya, Edward Guo, Yuan Ling, Kevin Quinn, Pham Hung, Benjamin Yao, and Sungjin Lee. 2020. Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents. CoRR, Vol. abs\/2006.07113 (2020). showeprint[arXiv]2006.07113 https:\/\/arxiv.org\/abs\/2006.07113"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.18653\/v1\/2021.emnlp-main.489"},{"key":"e_1_3_2_1_12_1","volume-title":"Chenlei Guo, and Ruhi Sarikaya.","author":"Ponnusamy Pragaash","year":"2020","unstructured":"Pragaash Ponnusamy, Alireza Roshan Ghias, Chenlei Guo, and Ruhi Sarikaya. 2020. Feedback-Based Self-Learning in Large-Scale Conversational AI Agents. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7--12, 2020. AAAI Press, 13180--13187. https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/7022"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.18653\/v1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1145\/3331184.3331326"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1109\/MSP.2016.2617341"},{"key":"e_1_3_2_1_16_1","volume-title":"Bidirectional attention flow for machine comprehension. arXiv preprint arXiv:1611.01603","author":"Seo Minjoon","year":"2016","unstructured":"Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2016. Bidirectional attention flow for machine comprehension. arXiv preprint arXiv:1611.01603 (2016)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1145\/3404835.3463079"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1145\/2911451.2911542"},{"key":"e_1_3_2_1_19_1","volume-title":"Qanet: Combining local convolution with global self-attention for reading comprehension. arXiv preprint arXiv:1804.09541","author":"Yu Adams Wei","year":"2018","unstructured":"Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V Le. 2018. Qanet: Combining local convolution with global self-attention for reading comprehension. arXiv preprint arXiv:1804.09541 (2018)."},{"key":"e_1_3_2_1_20_1","volume-title":"Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese. arxiv: 2110.06696 [cs.CL]","author":"Zhang Zhuosheng","year":"2021","unstructured":"Zhuosheng Zhang, Hanqing Zhang, Keming Chen, Yuhang Guo, Jingyun Hua, Yulong Wang, and Ming Zhou. 2021. Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese. arxiv: 2110.06696 [cs.CL]"}],"event":{"sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"acronym":"SIGIR '23","name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan"},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591843","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591843","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:59Z","timestamp":1750178279000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591843"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":20,"alternative-id":["10.1145\/3539618.3591843","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591843","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}