{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:43:42Z","timestamp":1743101022523,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030567248"},{"type":"electronic","value":"9783030567255"}],"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\/978-3-030-56725-5_4","type":"book-chapter","created":{"date-parts":[[2020,8,9]],"date-time":"2020-08-09T23:02:37Z","timestamp":1597014157000},"page":"45-57","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Framework for Identifying Event\u2019s Relevance Comments in Twitter"],"prefix":"10.1007","author":[{"given":"Darong","family":"Peng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nankai","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaotian","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xubin","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengyi","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,10]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","unstructured":"Wu, T., Liu, S., Zhang, J., Xiang, Y.: Twitter spam detection based on deep learning. In: ACM International Conference Proceeding Series (2017). https:\/\/doi.org\/10.1145\/3014812.3014815","DOI":"10.1145\/3014812.3014815"},{"key":"4_CR2","doi-asserted-by":"publisher","unstructured":"Chen, K., Chen, T., Zheng, G., Jin, O., Yao, E., Yu, Y.: Collaborative personalized tweet recommendation. In: SIGIR 2012 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (2012). https:\/\/doi.org\/10.1145\/2348283.2348372","DOI":"10.1145\/2348283.2348372"},{"key":"4_CR3","doi-asserted-by":"publisher","unstructured":"Lakomkin, E., Bothe, C., Wermter, S.: GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection. presented at the (2018). https:\/\/doi.org\/10.18653\/v1\/w17-5222","DOI":"10.18653\/v1\/w17-5222"},{"key":"4_CR4","doi-asserted-by":"publisher","unstructured":"Takahashi, T., Igata, N.: Rumor detection on twitter. In: 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS\/ISIS 2012 (2012). https:\/\/doi.org\/10.1109\/SCIS-ISIS.2012.6505254","DOI":"10.1109\/SCIS-ISIS.2012.6505254"},{"key":"4_CR5","doi-asserted-by":"publisher","unstructured":"Krestel, R., Werkmeister, T., Wiradarma, T.P., Kasneci, G.: Tweet-recommender: finding relevant tweets for news articles. In: WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web (2015). https:\/\/doi.org\/10.1145\/2740908.2742716","DOI":"10.1145\/2740908.2742716"},{"key":"4_CR6","unstructured":"Liu, Z.: Research on the relevance of Chinese Weibo reviews and Weibo topics (2016)"},{"key":"4_CR7","unstructured":"Becker, H., Gravano, L.: Selecting quality Twitter content for events. In: International AAAI Conference on Weblogs Social Media (2010)"},{"key":"4_CR8","doi-asserted-by":"publisher","unstructured":"Yang, S.H., Kolcz, A., Schlaikjer, A., Gupta, P.: Large-scale high-precision topic modeling on Twitter. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2014). https:\/\/doi.org\/10.1145\/2623330.2623336","DOI":"10.1145\/2623330.2623336"},{"key":"4_CR9","doi-asserted-by":"publisher","unstructured":"Yang, L., et al.: Response ranking with deep matching networks and external knowledge in information-seeking conversation systems. In: 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 (2018). https:\/\/doi.org\/10.1145\/3209978.3210011","DOI":"10.1145\/3209978.3210011"},{"key":"4_CR10","doi-asserted-by":"publisher","unstructured":"Chen, H., Liu, D., Han, F.X., Lai, K., Xu, Y., Niu, D., Wu, C.: MIX: multi-channel information crossing for text matching. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2018). https:\/\/doi.org\/10.1145\/3219819.3219928","DOI":"10.1145\/3219819.3219928"},{"key":"4_CR11","unstructured":"Rose, S.J., Cowley, W.E., Crow, V.L., Cramer, N.O.: Rapid automatic keyword extraction for information retrieval and analysis (2012)"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Wan, S., Lan, Y., Guo, J., Xu, J., Pang, L., Cheng, X.: A deep architecture for semantic matching with multiple positional sentence representations. In: 30th AAAI Conference on Artificial Intelligence, AAAI 2016 (2016)","DOI":"10.1609\/aaai.v30i1.10342"},{"key":"4_CR13","unstructured":"Pang, L., Lan, Y., Guo, J., Xu, J., Cheng, X.: A study of MatchPyramid models on ad-hoc retrieval. CoRR. abs\/1606.04648 (2016)"},{"key":"4_CR14","doi-asserted-by":"publisher","unstructured":"Chen, Q., Ling, Z., Jiang, H., Zhu, X., Wei, S., Inkpen, D.: Enhanced LSTM for natural language inference. In: ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) (2017). https:\/\/doi.org\/10.18653\/v1\/P17-1152","DOI":"10.18653\/v1\/P17-1152"},{"key":"4_CR15","doi-asserted-by":"publisher","unstructured":"Severyn, A., Moschittiy, A.: Learning to rank short text pairs with convolutional deep neural networks. In: SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (2015). https:\/\/doi.org\/10.1145\/2766462.2767738","DOI":"10.1145\/2766462.2767738"}],"container-title":["Lecture Notes in Computer Science","Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-56725-5_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:05:11Z","timestamp":1710248711000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-56725-5_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030567248","9783030567255"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-56725-5_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"10 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","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":"14 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccir2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cvnis.net\/ccir2020\/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":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"102","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":"12","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":"12% - 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":"5-6","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)"}},{"value":"Due to the COVID-19 pandemic the conference was held online supplemented with local on-site events.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}