{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T20:13:32Z","timestamp":1743020012182,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819772315"},{"type":"electronic","value":"9789819772322"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-981-97-7232-2_11","type":"book-chapter","created":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T16:02:47Z","timestamp":1724774567000},"page":"154-168","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SE-GCN: A Syntactic Information Enhanced Model for Aspect-Based Sentiment Analysis"],"prefix":"10.1007","author":[{"given":"Bin","family":"Xu","sequence":"first","affiliation":[]},{"given":"Shuai","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xiaoling","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Yike","family":"Han","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,28]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106292","volume":"205","author":"J Zhou","year":"2020","unstructured":"Zhou, J., Huang, J.X., Hu, Q.V., et al.: Sk-Gcn: modeling syntax and knowledge via graph convolutional network for aspect-level sentiment classification. Knowl.-Based Syst. 205, 106292 (2020)","journal-title":"Knowl.-Based Syst."},{"issue":"4","key":"11_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107643","volume":"235","author":"B Liang","year":"2022","unstructured":"Liang, B., Su, H., Gui, L., et al.: Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks. Knowl.-Based Syst. 235(4), 107643 (2022)","journal-title":"Knowl.-Based Syst."},{"doi-asserted-by":"crossref","unstructured":"Zhang, C., Li, Q., Song, D.: Aspect-based sentiment classification with aspect-specific graph convolutional networks. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 4568\u20134578 (2019)","key":"11_CR3","DOI":"10.18653\/v1\/D19-1464"},{"doi-asserted-by":"crossref","unstructured":"Wang, K., Shen, W., Yang, Y., et al.: Relational graph attention network for aspect-based sentiment analysis. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 3229\u20133238 (2020)","key":"11_CR4","DOI":"10.18653\/v1\/2020.acl-main.295"},{"doi-asserted-by":"crossref","unstructured":"Tang, H., Ji, D., Li, C., et al.: Dependency graph enhanced dual-transformer structure for aspect-based sentiment classification. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 6578\u20136588 (2020)","key":"11_CR5","DOI":"10.18653\/v1\/2020.acl-main.588"},{"key":"11_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115712","volume":"186","author":"X Zhu","year":"2021","unstructured":"Zhu, X., Zhu, L., Guo, J., et al.: GL-GCN: global and local dependency guided graph convolutional networks for aspect-based sentiment classification. Expert Syst. Appl. 186, 115712 (2021)","journal-title":"Expert Syst. Appl."},{"doi-asserted-by":"crossref","unstructured":"Sun, K., Zhang, R., Mensah, S., et al.: Aspect-level sentiment analysis via convolution over dependency tree. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 5679\u20135688 (2019)","key":"11_CR7","DOI":"10.18653\/v1\/D19-1569"},{"unstructured":"Cambria, E., Speer, R., Havasi, C., et al.: Senticnet: a publicly available semantic resource for opinion mining. In: 2010 AAAI Fall Symposium Series (2010)","key":"11_CR8"},{"doi-asserted-by":"crossref","unstructured":"Li, J., Sun, A., Joty, S.R.: SegBot: a generic neural text segmentation model with pointer network. In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI), pp. 4166\u20134172 (2018)","key":"11_CR9","DOI":"10.24963\/ijcai.2018\/579"},{"doi-asserted-by":"crossref","unstructured":"Pontiki, M., Galanis, D., Pavlopoulos, J., et al.: SemEval-2014 task 4: aspect based sentiment analysis. In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp. 27\u201335 (2014)","key":"11_CR10","DOI":"10.3115\/v1\/S14-2004"},{"doi-asserted-by":"crossref","unstructured":"Pontiki, M., Galanis, D., Papageorgiou, H., et al.: SemEval-2015 task 12: aspect based sentiment analysis. In: Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pp. 486\u2013495 (2015)","key":"11_CR11","DOI":"10.18653\/v1\/S15-2082"},{"doi-asserted-by":"crossref","unstructured":"Pontiki, M., Galanis, D., Papageorgiou, H., et al.: Semeval-2016 task 5: aspect based sentiment analysis. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 19\u201330 (2016)","key":"11_CR12","DOI":"10.18653\/v1\/S16-1002"},{"key":"11_CR13","doi-asserted-by":"publisher","first-page":"154290","DOI":"10.1109\/ACCESS.2019.2946594","volume":"7","author":"Z Gao","year":"2019","unstructured":"Gao, Z., Feng, A., Song, X., et al.: Target-dependent sentiment classification with BERT. IEEE Access 7, 154290\u2013154299 (2019)","journal-title":"IEEE Access"},{"doi-asserted-by":"crossref","unstructured":"Mao, Q., Li, J., Wang, S., et al.: Aspect-based sentiment classification with attentive neural Turing machines. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI), pp. 5139\u20135145 (2019)","key":"11_CR14","DOI":"10.24963\/ijcai.2019\/714"},{"issue":"6","key":"11_CR15","doi-asserted-by":"publisher","first-page":"756","DOI":"10.1007\/s42979-023-02229-7","volume":"4","author":"S Verma","year":"2023","unstructured":"Verma, S., Kumar, A., Sharan, A.: IAN-BERT: combining post-trained BERT with interactive attention network for aspect-based sentiment analysis. SN Comput. Sci. 4(6), 756\u2013766 (2023)","journal-title":"SN Comput. Sci."},{"doi-asserted-by":"crossref","unstructured":"Huang, L., Sun, X., Li, S., et al.: Syntax-aware graph attention network for aspect-level sentiment classification. In: Proceedings of the 28th International Conference on Computational Linguistics, pp. 799\u2013810 (2020)","key":"11_CR16","DOI":"10.18653\/v1\/2020.coling-main.69"},{"doi-asserted-by":"crossref","unstructured":"Tian, Y., Chen, G., Song, Y.: Enhancing aspect-level sentiment analysis with word dependencies. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pp. 3726\u20133739 (2021)","key":"11_CR17","DOI":"10.18653\/v1\/2021.eacl-main.326"},{"doi-asserted-by":"crossref","unstructured":"Tian, Y., Chen, G., Song, Y.: Aspect-based sentiment analysis with type-aware graph convolutional networks and layer ensemble. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 2910\u20132922 (2021)","key":"11_CR18","DOI":"10.18653\/v1\/2021.naacl-main.231"},{"issue":"3","key":"11_CR19","doi-asserted-by":"publisher","first-page":"185","DOI":"10.3390\/info14030185","volume":"14","author":"T Jiang","year":"2023","unstructured":"Jiang, T., Wang, Z., Yang, M., et al.: Aspect-based sentiment analysis with dependency relation weighted graph attention. Information 14(3), 185\u2013199 (2023)","journal-title":"Information"},{"issue":"2","key":"11_CR20","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/s10844-022-00761-1","volume":"61","author":"Y Wan","year":"2023","unstructured":"Wan, Y., Chen, Y., Shi, L., et al.: A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis. J. Intell. Inf. Syst. 61(2), 343\u2013365 (2023)","journal-title":"J. Intell. Inf. Syst."}],"container-title":["Lecture Notes in Computer Science","Web and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-7232-2_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T16:06:00Z","timestamp":1724774760000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-7232-2_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819772315","9789819772322"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-7232-2_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"28 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APWeb-WAIM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jinhua","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apwebwaim2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/apweb2024.zjnu.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}