{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:30:12Z","timestamp":1743010212453,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031220630"},{"type":"electronic","value":"9783031220647"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-22064-7_8","type":"book-chapter","created":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T19:02:04Z","timestamp":1669230124000},"page":"93-105","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Event Detection from\u00a0Web Data in\u00a0Chinese Based on\u00a0Bi-LSTM with\u00a0Attention"],"prefix":"10.1007","author":[{"given":"Yuxin","family":"Wu","sequence":"first","affiliation":[]},{"given":"Zenghui","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Hongzhou","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yuquan","family":"Gan","sequence":"additional","affiliation":[]},{"given":"Josh Jia-Ching","family":"Ying","sequence":"additional","affiliation":[]},{"given":"Ting","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Ji","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,24]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Can, E.F., Manmatha, R.: Modeling concept dependencies for event detection. In: Proceedings of International Conference on Multimedia Retrieval, pp. 289\u2013296 (2014)","DOI":"10.1145\/2578726.2578763"},{"key":"8_CR2","first-page":"786","volume":"2002","author":"HL Chieu","year":"2002","unstructured":"Chieu, H.L., Ng, H.T.: A maximum entropy approach to information extraction from semi-structured and free text. Aaai\/iaai 2002, 786\u2013791 (2002)","journal-title":"Aaai\/iaai"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Cui, W.: A Chinese text classification system based on naive bayes algorithm. In: MATEC Web of Conferences, vol. 44, p. 01015. EDP Sciences (2016)","DOI":"10.1051\/matecconf\/20164401015"},{"key":"8_CR4","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Ding, N., Li, Z., Liu, Z., Zheng, H., Lin, Z.: Event detection with trigger-aware lattice neural network. 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. 347\u2013356 (2019)","DOI":"10.18653\/v1\/D19-1033"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Kalchbrenner, N., Grefenstette, E., Blunsom, P.: A convolutional neural network for modelling sentences. arXiv preprint arXiv:1404.2188 (2014)","DOI":"10.3115\/v1\/P14-1062"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Kumaran, G., Allan, J.: Text classification and named entities for new event detection. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 297\u2013304 (2004)","DOI":"10.1145\/1008992.1009044"},{"key":"8_CR8","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1016\/j.patcog.2018.12.010","volume":"88","author":"Z Li","year":"2019","unstructured":"Li, Z., Yao, L., Chang, X., Zhan, K., Sun, J., Zhang, H.: Zero-shot event detection via event-adaptive concept relevance mining. Pattern Recogn. 88, 595\u2013603 (2019)","journal-title":"Pattern Recogn."},{"key":"8_CR9","unstructured":"Lin, Z., et al.: A structured self-attentive sentence embedding. arXiv preprint arXiv:1703.03130 (2017)"},{"key":"8_CR10","unstructured":"Liu, P., Qiu, X., Huang, X.: Recurrent neural network for text classification with multi-task learning. arXiv preprint arXiv:1605.05101 (2016)"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Lu, H., Zhan, D., Zhou, L., He, D.: An improved focused crawler: using web page classification and link priority evaluation. Math. Probl. Eng. 2016, 1\u201310 (2016)","DOI":"10.1155\/2016\/6406901"},{"key":"8_CR12","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Qing, S., Ying, Z., Pengzhou, Z.: Research review on key techniques of topic-based news elements extraction. In: 2017 IEEE\/ACIS 16th International Conference on Computer and Information Science (ICIS), pp. 585\u2013590. IEEE (2017)","DOI":"10.1109\/ICIS.2017.7960060"},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Sayyadi, H., Hurst, M., Maykov, A.: Event detection and tracking in social streams. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 3, pp. 311\u2013314 (2009)","DOI":"10.1609\/icwsm.v3i1.13970"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Sims, M., Park, J.H., Bamman, D.: Literary event detection. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 3623\u20133634 (2019)","DOI":"10.18653\/v1\/P19-1353"},{"issue":"11","key":"8_CR16","doi-asserted-by":"publisher","first-page":"33","DOI":"10.5815\/ijmecs.2017.11.04","volume":"9","author":"B Singh","year":"2017","unstructured":"Singh, B., Gupta, D.K., Singh, R.M.: Improved architecture of focused crawler on the basis of content and link analysis. Int. J. Mod. Educ. Comput. Sci. 9(11), 33 (2017)","journal-title":"Int. J. Mod. Educ. Comput. Sci."},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Tong, M., et al.: Improving event detection via open-domain trigger knowledge. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 5887\u20135897 (2020)","DOI":"10.18653\/v1\/2020.acl-main.522"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Yang, K., Xu, H., Gao, K.: CM-BERT: cross-modal BERT for text-audio sentiment analysis. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 521\u2013528 (2020)","DOI":"10.1145\/3394171.3413690"},{"key":"8_CR19","doi-asserted-by":"publisher","first-page":"176600","DOI":"10.1109\/ACCESS.2019.2953990","volume":"7","author":"S Yu","year":"2019","unstructured":"Yu, S., Su, J., Luo, D.: Improving BERT-based text classification with auxiliary sentence and domain knowledge. IEEE Access 7, 176600\u2013176612 (2019)","journal-title":"IEEE Access"},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, C., Hong, S., Zhang, P.: The research on event extraction of Chinese news based on subject elements. In: 2016 IEEE\/ACIS 15th International Conference on Computer and Information Science (ICIS), pp. 1\u20135. IEEE (2016)","DOI":"10.1109\/ICIS.2016.7550911"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Jin, L., Feng, Z.: Multi-font printed Chinese character recognition using multi-pooling convolutional neural network. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 96\u2013100. IEEE (2015)","DOI":"10.1109\/ICDAR.2015.7333733"},{"key":"8_CR22","unstructured":"Zhou, C., Sun, C., Liu, Z., Lau, F.: A C-LSTM neural network for text classification. arXiv preprint arXiv:1511.08630 (2015)"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-22064-7_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T19:03:07Z","timestamp":1669230187000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-22064-7_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031220630","9783031220647"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-22064-7_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brisbane, QLD","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adma2022.uqcloud.net\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT3","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"198","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}