{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:22:34Z","timestamp":1765498954854,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","funder":[{"name":"National Key R&D Program of China","award":["No. 2023YFC3303800"],"award-info":[{"award-number":["No. 2023YFC3303800"]}]},{"name":"NSFC","award":["2322202, 62441612, 62476163"],"award-info":[{"award-number":["2322202, 62441612, 62476163"]}]},{"name":"Beijing Natural Science Foundation","award":["L253021"],"award-info":[{"award-number":["L253021"]}]},{"name":"Local Science and Technology Development Fund of Hebei Province Guided by the Central Government of China","award":["246Z0102G"],"award-info":[{"award-number":["246Z0102G"]}]},{"name":"Pionee and Leading Goose R&D Program of Zhejiang","award":["2025C02044"],"award-info":[{"award-number":["2025C02044"]}]},{"name":"Hebei Natural Science Foundation","award":["F2024210008"],"award-info":[{"award-number":["F2024210008"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2023B1515120020"],"award-info":[{"award-number":["2023B1515120020"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3761060","type":"proceedings-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T23:59:18Z","timestamp":1762559958000},"page":"2326-2335","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2051-4709","authenticated-orcid":false,"given":"Kun","family":"Peng","sequence":"first","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1881-1947","authenticated-orcid":false,"given":"Cong","family":"Cao","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0458-5977","authenticated-orcid":false,"given":"Hao","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9731-1504","authenticated-orcid":false,"given":"Zhifeng","family":"Hao","sequence":"additional","affiliation":[{"name":"Department of Mathematics, College of Science, Shantou University, Shantou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6526-6430","authenticated-orcid":false,"given":"Lei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1461-6004","authenticated-orcid":false,"given":"Kongjing","family":"Gu","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9653-073X","authenticated-orcid":false,"given":"Yanbing","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3491-5968","authenticated-orcid":false,"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Illinois Chicago, Chicago, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.263"},{"volume-title":"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","author":"Cai Hongjie","key":"e_1_3_2_1_2_1","unstructured":"Hongjie Cai, Rui Xia, and Jianfei Yu. 2021. Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, Online, 340--350."},{"volume-title":"Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence","author":"Cao Yuwei","key":"e_1_3_2_1_3_1","unstructured":"Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, and Philip S. Yu. 2024. Multi-relational structural entropy. In Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence (Barcelona, Spain) (UAI '24). JMLR.org, Article 26, 15 pages."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28666"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.582"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Yuqi Chen Chen Keming Xian Sun and Zequn Zhang. 2022. A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction. In EMNLP.","DOI":"10.18653\/v1\/2022.emnlp-main.289"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3124365"},{"volume-title":"Deep Biaffine Attention for Neural Dependency Parsing. In International Conference on Learning Representations.","author":"Dozat Timothy","key":"e_1_3_2_1_8_1","unstructured":"Timothy Dozat and Christopher D. Manning. 2017. Deep Biaffine Attention for Neural Dependency Parsing. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.3233\/FAIA200321"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.240"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.547"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.966"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2555904"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.849"},{"key":"e_1_3_2_1_15_1","unstructured":"Bobo Li Hao Fei Lizi Liao Yu Zhao Fangfang Su Fei Li and Donghong Ji. 2024. Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues. In AAAI Conference on Artificial Intelligence. https:\/\/api.semanticscholar.org\/CorpusID:268711333"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.53"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","unstructured":"Yuqing Li Wenyuan Zhang Binbin Li Siyu Jia Zisen Qi and Xingbang Tan. 2024. Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). 11241--11245. https:\/\/doi.org\/10.1109\/ICASSP48485.2024.10447873","DOI":"10.1109\/ICASSP48485.2024.10447873"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i11.26547"},{"key":"e_1_3_2_1_19_1","volume-title":"Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1609\/AAAI.V34I05.6383"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3660522"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679543"},{"key":"e_1_3_2_1_23_1","volume-title":"Yu","author":"Peng Kun","year":"2024","unstructured":"Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, and Philip S. Yu. 2024. Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. In SDM. https:\/\/api.semanticscholar.org\/CorpusID:270925506"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1613\/JAIR.1.12802"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/545"},{"key":"e_1_3_2_1_26_1","unstructured":"Zhen Wu Chengcan Ying Fei Zhao Zhifang Fan Xinyu Dai and Rui Xia. 2020. Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction. In Findings of EMNLP. 2576--2585."},{"key":"e_1_3_2_1_27_1","volume-title":"Yew Ken Chia, and Lidong Bing","author":"Xu Lu","year":"2021","unstructured":"Lu Xu, Yew Ken Chia, and Lidong Bing. 2021. Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. In ACL-IJCNLP. 4755--4766."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.212"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.726"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-naacl.246"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3230975"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Yice Zhang Yifan Yang Yihui Li and et al. 2022. Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction. In EMNLP. 6485--6498.","DOI":"10.18653\/v1\/2022.emnlp-main.435"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645355"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.777"}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Seoul Republic of Korea","acronym":"CIKM '25"},"container-title":["Proceedings of the 34th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746252.3761060","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:20:53Z","timestamp":1765498853000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761060"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":34,"alternative-id":["10.1145\/3746252.3761060","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3761060","relation":{},"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"2025-11-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}