{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T08:03:55Z","timestamp":1784189035748,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":13,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819234165","type":"print"},{"value":"9789819234172","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T00:00:00Z","timestamp":1784246400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T00:00:00Z","timestamp":1784246400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-3417-2_27","type":"book-chapter","created":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T07:10:25Z","timestamp":1784185825000},"page":"312-323","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical Information Refinement Framework for Multimodal Aspect-Based Sentiment Analysis"],"prefix":"10.1007","author":[{"given":"Shaokang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Ran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,17]]},"reference":[{"key":"27_CR1","first-page":"5408","volume-title":"IJCAI","author":"J Yu","year":"2019","unstructured":"Yu, J., Jiang, J.: Adapting BERT for target-oriented multimodal sentiment classification. In: IJCAI, pp. 5408\u20135414 (2019)"},{"key":"27_CR2","first-page":"11575","volume-title":"Findings of ACL","author":"X Yang","year":"2023","unstructured":"Yang, X., et al.: Few-shot joint multimodal aspect-sentiment analysis based on generative multimodal prompt. In: Findings of ACL, pp. 11575\u201311589 (2023)"},{"key":"27_CR3","first-page":"4395","volume-title":"EMNLP","author":"X Ju","year":"2021","unstructured":"Ju, X., et al.: Joint multi-modal aspect-sentiment analysis with auxiliary cross-modal relation detection. In: EMNLP, pp. 4395\u20134405 (2021)"},{"key":"27_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103038","volume":"59","author":"L Yang","year":"2022","unstructured":"Yang, L., Na, J.C., Yu, J.: Cross-modal multitask transformer for end-to-end multimodal aspect-based sentiment analysis. Inf. Process. Manag. 59, 103038 (2022)","journal-title":"Inf. Process. Manag."},{"key":"27_CR5","first-page":"2149","volume-title":"ACL","author":"Y Ling","year":"2022","unstructured":"Ling, Y., Yu, J., Xia, R.: Vision-language pre-training for multimodal aspect-based sentiment analysis. In: ACL, pp. 2149\u20132159 (2022)"},{"key":"27_CR6","first-page":"8184","volume-title":"Findings of ACL","author":"R Zhou","year":"2023","unstructured":"Zhou, R., et al.: AoM: detecting aspect-oriented information for multimodal aspect-based sentiment analysis. In: Findings of ACL, pp. 8184\u20138196 (2023)"},{"key":"27_CR7","first-page":"313","volume-title":"COLING","author":"X Liu","year":"2025","unstructured":"Liu, X., et al.: Multimodal aspect-based sentiment analysis under conditional relation. In: COLING, pp. 313\u2013323 (2025)"},{"key":"27_CR8","first-page":"23987","volume-title":"AAAI","author":"Z Han","year":"2025","unstructured":"Han, Z., Hu, M., Bai, Y., Wang, X., Luo, B.: DEQA: descriptions enhanced question-answering framework for multimodal aspect-based sentiment analysis. In: AAAI, pp. 23987\u201323995 (2025)"},{"key":"27_CR9","volume-title":"ICLR","author":"P He","year":"2021","unstructured":"He, P., Liu, X., Gao, J., Chen, W.: DeBERTa: decoding-enhanced BERT with disentangled attention. In: ICLR (2021)"},{"key":"27_CR10","first-page":"7871","volume-title":"ACL","author":"M Lewis","year":"2020","unstructured":"Lewis, M., et al.: BART: denoising sequence-to-sequence pre-training. In: ACL, pp. 7871\u20137880 (2020)"},{"key":"27_CR11","first-page":"3342","volume-title":"ACL","author":"J Yu","year":"2020","unstructured":"Yu, J., Jiang, J., Yang, L., Xia, R.: Improving multimodal named entity recognition via entity span detection. In: ACL, pp. 3342\u20133352 (2020)"},{"key":"27_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102304","volume":"106","author":"L Xiao","year":"2024","unstructured":"Xiao, L., et al.: Atlantis: aesthetic-oriented multiple granularities fusion network. Inf. Fusion. 106, 102304 (2024)","journal-title":"Inf. Fusion"},{"key":"27_CR13","volume":"285","author":"G Zhang","year":"2024","unstructured":"Zhang, G., et al.: MCPL-VLP: multi-level contrastive pre-training for vision-language pre-training. Knowl.-Based Syst. 285, 111123 (2024)","journal-title":"Knowl.-Based Syst."}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3417-2_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T07:10:27Z","timestamp":1784185827000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3417-2_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,17]]},"ISBN":["9789819234165","9789819234172"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3417-2_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,17]]},"assertion":[{"value":"17 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}