{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T04:53:13Z","timestamp":1743915193253,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031402913"},{"type":"electronic","value":"9783031402920"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-40292-0_15","type":"book-chapter","created":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T23:02:48Z","timestamp":1691535768000},"page":"175-188","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Unveiling Cybersecurity Threats from\u00a0Online Chat Groups: A Triple Extraction Approach"],"prefix":"10.1007","author":[{"given":"Zhen","family":"Yang","sequence":"first","affiliation":[]},{"given":"Cheng","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Jiayong","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,9]]},"reference":[{"key":"15_CR1","unstructured":"Elsner, M., Charniak, E.: You talking to me? a corpus and algorithm for conversation disentanglement. In: Proceedings of ACL-08: HLT. pp. 834\u2013842 (2008)"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"He, H., Choi, J.D.: The stem cell hypothesis: Dilemma behind multi-task learning with transformer encoders. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. pp. 5555\u20135577 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.451"},{"key":"15_CR3","doi-asserted-by":"publisher","first-page":"22740","DOI":"10.1109\/ACCESS.2019.2891694","volume":"7","author":"F Iqbal","year":"2019","unstructured":"Iqbal, F., Fung, B.C., Debbabi, M., Batool, R., Marrington, A.: Wordnet-based criminal networks mining for cybercrime investigation. IEEE Access 7, 22740\u201322755 (2019)","journal-title":"IEEE Access"},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Li, S., Zhao, Z., Hu, R., Li, W., Liu, T., Du, X.: Analogical reasoning on chinese morphological and semantic relations. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). pp. 138\u2013143 (2018)","DOI":"10.18653\/v1\/P18-2023"},{"key":"15_CR5","unstructured":"Riou, M., Salim, S., Hernandez, N.: Using discursive information to disentangle french language chat. In: 2nd Workshop on Natural Language Processing for Computer-Mediated Communication (NLP4CMC 2015)\/Social Media at GSCL Conference 2015. pp. 23\u201327 (2015)"},{"key":"15_CR6","unstructured":"Sabottke, C., Suciu, O., Dumitras, T.: Vulnerability disclosure in the age of social media: Exploiting twitter for predicting real-world exploits. In: 24th $$\\{$$USENIX$$\\}$$ Security Symposium ($$\\{$$USENIX$$\\}$$ Security 15). pp. 1041\u20131056 (2015)"},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Shen, D., Yang, Q., Sun, J.T., Chen, Z.: Thread detection in dynamic text message streams. In: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. pp. 35\u201342 (2006)","DOI":"10.1145\/1148170.1148180"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Sinha, A., Midhush Manohar, T.K., Subramanian, S., Das, B.: Text segregation on asynchronous group chat. Procedia Comput. Sci. 171, 1371\u20131380 (2020)","DOI":"10.1016\/j.procs.2020.04.147"},{"key":"15_CR9","unstructured":"Stenetorp, P., Pyysalo, S., Topi\u0107, G., Ohta, T., Ananiadou, S., Tsujii, J.: Brat: a web-based tool for nlp-assisted text annotation. In: Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics. pp. 102\u2013107 (2012)"},{"key":"15_CR10","unstructured":"Wang, D., Liu, Y.: A pilot study of opinion summarization in conversations. In: Proceedings of the 49th annual meeting of the Association for Computational Linguistics: Human language technologies. pp. 331\u2013339 (2011)"},{"key":"15_CR11","unstructured":"Wolf, T., et al.: Transformers: State-of-the-art natural language processing. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. pp. 38\u201345 (2020)"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Xue, F., Sun, A., Zhang, H., Chng, E.S.: GdpNet: refining latent multi-view graph for relation extraction. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 35, pp. 14194\u201314202 (2021)","DOI":"10.1609\/aaai.v35i16.17670"},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Xue, F., Sun, A., Zhang, H., Ni, J., Chng, E.S.: An embarrassingly simple model for dialogue relation extraction. In: ICASSP 2022\u20132022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 6707\u20136711. IEEE (2022)","DOI":"10.1109\/ICASSP43922.2022.9747486"},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Yao, Y., et al.: DocRED: a large-scale document-level relation extraction dataset. arXiv preprint arXiv:1906.06127 (2019)","DOI":"10.18653\/v1\/P19-1074"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Yu, D., Sun, K., Cardie, C., Yu, D.: Dialogue-based relation extraction. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. pp. 4927\u20134940 (2020)","DOI":"10.18653\/v1\/2020.acl-main.444"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Yu, T., Joty, S.: Online conversation disentanglement with pointer networks. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 6321\u20136330 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.512"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-40292-0_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T23:06:11Z","timestamp":1691535971000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-40292-0_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031402913","9783031402920"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-40292-0_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 August 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ksem2023.conferences.academy\/","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":"395","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":"114","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":"30","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":"29% - 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":"2,5","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":"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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}