{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T13:08:04Z","timestamp":1746796084769,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811579837"},{"type":"electronic","value":"9789811579844"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-981-15-7984-4_6","type":"book-chapter","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T12:03:10Z","timestamp":1597924990000},"page":"77-89","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Feature Extraction by Using Attention Mechanism in Text Classification"],"prefix":"10.1007","author":[{"given":"Yaling","family":"Wang","sequence":"first","affiliation":[]},{"given":"Yue","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Ibrahim, M., et al.: Global explanations of neural networks. In: AAAI\/ACM Conference ACM (2019)","DOI":"10.1145\/3306618.3314230"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Li, J., Ji, S., Du, T., et al.: Text bugger: generating adversarial text against real-world applications. In: Proceedings of the 26th Annual Network and Distributed Systems Security Symposium. ISOC, Reston (2019)","DOI":"10.14722\/ndss.2019.23138"},{"key":"6_CR3","unstructured":"Doshi-Velez, F., Kim, B.: Towards A Rigorous Science of Interpretable Machine Learning (2017)"},{"issue":"5","key":"6_CR4","first-page":"1","volume":"51","author":"G Riccardo","year":"2018","unstructured":"Riccardo, G., et al.: A survey of methods for explaining black box models. ACM Comput. Surv. 51(5), 1\u201342 (2018)","journal-title":"ACM Comput. Surv."},{"issue":"7","key":"6_CR5","doi-asserted-by":"publisher","first-page":"e0130140","DOI":"10.1371\/journal.pone.0130140","volume":"10","author":"B Sebastian","year":"2015","unstructured":"Sebastian, B., et al.: On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation. PLoS ONE 10(7), e0130140 (2015)","journal-title":"PLoS ONE"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: \u201cWhy Should I Trust You?\u201d: Explaining the Predictions of Any Classifier (2016)","DOI":"10.1145\/2939672.2939778"},{"key":"6_CR7","unstructured":"Vaswani, A., Shazer, N., Parmar, N., et al.: Attention is all you need. In: Proceedings of the 31st International Conference on Neural Information Processing Systems. Curran Associates Inc, Red Hook (2017)"},{"key":"6_CR8","unstructured":"Xu, K., et al.: Show, attend and tell: neural image caption generation with visual attention. In: Computer EnCE, pp. 2048\u20132057 (2015)"},{"issue":"8","key":"6_CR9","doi-asserted-by":"publisher","first-page":"e0181142","DOI":"10.1371\/journal.pone.0181142","volume":"12","author":"L Arras","year":"2017","unstructured":"Arras, L., et al.: \u201cWhat is relevant in a text document?\u201d: an interpretable machine learning approach. PLoS ONE 12(8), e0181142 (2017)","journal-title":"PLoS ONE"},{"key":"6_CR10","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Yang, Z., et al.: Hierarchical attention networks for document classification. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2016)","DOI":"10.18653\/v1\/N16-1174"},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Poerner, N., Roth, B., Sch\u00fctze, H.: Evaluating neural network explanation methods using hybrid documents and morphological agreement (2018)","DOI":"10.18653\/v1\/P18-1032"},{"key":"6_CR13","unstructured":"Malhotra, P., et al.: Long short term memory networks for anomaly detection in time series. In: European Symposium on Artificial Neural Networks (2015)"},{"issue":"3","key":"6_CR14","doi-asserted-by":"publisher","first-page":"3797","DOI":"10.1007\/s11042-018-6083-5","volume":"78","author":"X Deng","year":"2019","unstructured":"Deng, X., et al.: Feature selection for text classification: a review. Multimedia Tools Appl. 78(3), 3797\u20133816 (2019)","journal-title":"Multimedia Tools Appl."},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Kowsari, et al.: Text classification algorithms: a survey. Information 10(4) (2019)","DOI":"10.3390\/info10040150"},{"issue":"3","key":"6_CR16","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1007\/s00607-019-00766-9","volume":"102","author":"J Xie","year":"2019","unstructured":"Xie, J., et al.: Chinese text classification based on attention mechanism and feature-enhanced fusion neural network. Computing 102(3), 683\u2013700 (2019). https:\/\/doi.org\/10.1007\/s00607-019-00766-9","journal-title":"Computing"},{"key":"6_CR17","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.neucom.2019.01.078","volume":"337","author":"G Liu","year":"2019","unstructured":"Liu, G., Guo, J.: Bidirectional LSTM with attention mechanism and convolutional layer for text classification. Neurocomputing 337, 325\u2013338 (2019)","journal-title":"Neurocomputing"},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"Tong, X., et al.: Semantic correlations loss: improving model interpretability for multi-class classification. In: 2019 IEEE International Conference on Big Data (Big Data). IEEE (2019)","DOI":"10.1109\/BigData47090.2019.9006247"}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-7984-4_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:40:33Z","timestamp":1710250833000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-15-7984-4_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811579837","9789811579844"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-7984-4_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"20 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiyuan","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpcsee2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2020.icpcsee.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"392","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":"74","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":"24","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":"19% - 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":"3","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":"5","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)"}}]}}