{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:23:38Z","timestamp":1743038618492,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811619632"},{"type":"electronic","value":"9789811619649"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-981-16-1964-9_15","type":"book-chapter","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T21:06:58Z","timestamp":1620248818000},"page":"185-195","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Employing Multi-cues to Identify Event Factuality"],"prefix":"10.1007","author":[{"given":"Liumin","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Peifeng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Zhong","family":"Qian","sequence":"additional","affiliation":[]},{"given":"Xiaoxu","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Qiaoming","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,6]]},"reference":[{"issue":"4","key":"15_CR1","first-page":"842","volume":"40","author":"X Chu","year":"2017","unstructured":"Chu, X., Zhu, Q., Zhou, G.: A study on the relationship between the primary and secondary text in natural language processing. Comput. Sci. 40(4), 842\u2013860 (2017)","journal-title":"Comput. Sci."},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Jin Z., Cao J., Jiang Y., et al. News credibility evaluation on microblog with a hierarchical propagation model. In: Proceedings of the 2014 IEEE International Conference on Data Mining, Shenzhen, pp. 230\u2013239 (2014)","DOI":"10.1109\/ICDM.2014.91"},{"issue":"2","key":"15_CR3","first-page":"1","volume":"38","author":"S Roser","year":"2012","unstructured":"Roser, S., James, P.: Are you sure that this happened? Assessing the factuality degree of events in text. Comput. Linguist. 38(2), 1\u201339 (2012)","journal-title":"Comput. Linguist."},{"issue":"6","key":"15_CR4","first-page":"38","volume":"27","author":"Y Cao","year":"2012","unstructured":"Cao, Y., Zhu, Q., Li, P.: Construction method of Chinese event factuality information corpus. Chin. Inf. J. 27(6), 38\u201344 (2012)","journal-title":"Chin. Inf. J."},{"issue":"2","key":"15_CR5","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1162\/COLI_a_00097","volume":"38","author":"C Marie","year":"2012","unstructured":"Marie, C., Christopher, D., Christopher, P.: Did it happen? The pragmatic complexity of veridicality assessment. Comput. Linguist. 38(2), 301\u2013333 (2012)","journal-title":"Comput. Linguist."},{"key":"15_CR6","unstructured":"Kenton, L., Yoav, A., Yejin, C., Luke, Z.: Event detection and factuality assessment with non-expert supervision. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 1643\u20131648. The Association for Computational Linguistics, Lisbon (2015)"},{"key":"15_CR7","unstructured":"He, T., Li, P., Zhu, Q.: A Chinese event factuality recognition method. Comput. Sci. 44(005), 241\u2013244, 256 (2017)"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Qian, Z., Li, P., Zhang, Y., et al.: Event factuality identification via generative adversarial networks with auxiliary classification. In: Proceedings of 27th International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, Stockholm, pp. 4293\u20134300 (2018)","DOI":"10.24963\/ijcai.2018\/597"},{"key":"15_CR9","doi-asserted-by":"crossref","unstructured":"Mudrakarta, P.K., Taly, A., Sundararajan, M., et al.: Did the model understand the question? In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, pp. 1896\u20131906. Association for Computational Linguistics, Melbourne (2018)","DOI":"10.18653\/v1\/P18-1176"},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"Jia, R., Liang, P.: Adversarial examples for evaluating reading comprehension systems. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 2021\u20132031. Association for Computational Linguistics, Copenhagen (2017)","DOI":"10.18653\/v1\/D17-1215"},{"key":"15_CR11","unstructured":"Tenney, I., Xia, P., Chen, B., et al.: What do you learn from context? Probing for sentence structure in contextualized word representations. In: Proceedings of 7th International Conference on Learning Representations. OpenReview, New Orleans (2019)"},{"key":"15_CR12","unstructured":"Liu, Y., Ott, M., Goyal, N., et al.: RoBERTa: a robustly optimized BERT pretraining approach. CoRR, 1907.11692(2019)"},{"issue":"3","key":"15_CR13","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/s10579-009-9089-9","volume":"43","author":"R Saur\u00ed","year":"2019","unstructured":"Saur\u00ed, R., Pustejovsky, J.: FactBank: a corpus annotated with event factuality. Lang. Resour. Eval. 43(3), 227\u2013268 (2019)","journal-title":"Lang. Resour. Eval."},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Qian, Z., Li, P., Zhu, Q., et al.: Document-level event factuality identification via adversarial neural network. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 2799\u20132809. Association for Computational Linguistics, Minneapolis (2019)","DOI":"10.18653\/v1\/N19-1287"},{"key":"15_CR15","unstructured":"Saur\u00ed, R.: A factuality profiler for eventualities in text. Ph.D. thesis, Brandeis University, Waltham, MA, USA (2008)"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Werner, G.J., Prabhakaran, V., Diab, M., et al.: Committed belief tagging on the FactBank and LU corpora: a comparative study. In: Proceedings of the 2nd Workshop on Extra-Propositional Aspects of Meaning in Computational Semantics, pp. 32\u201340. Association for Computational Linguistics, Denver (2015)","DOI":"10.3115\/v1\/W15-1304"},{"key":"15_CR17","unstructured":"Veyseh, A.P.B., Nguyen, T.H., Dou, D.: Graph based neural networks for event factuality prediction using syntactic and semantic structures. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 4393\u20134399. Association for Computational Linguistics, Florence (2019)"},{"key":"15_CR18","unstructured":"Devlin, J., Chang, M.W., Lee, K., et al.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 4171\u20134186. Association for Computational Linguistics. Minneapolis (2018)"},{"key":"15_CR19","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp. 1746\u20131751. Association for Computational Linguistics, Doha (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"15_CR20","volume-title":"Foundations of Statistical Natural Language Processing","author":"CD Manning","year":"1999","unstructured":"Manning, C.D., Sch\u00fctze, H.: Foundations of Statistical Natural Language Processing. The MIT Press, Cambridge (1999)"}],"container-title":["Communications in Computer and Information Science","Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-1964-9_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T21:09:19Z","timestamp":1620248959000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-1964-9_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811619632","9789811619649"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-1964-9_15","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"6 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCKS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China Conference on Knowledge Graph and Semantic Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanchang","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":"12 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccks2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/sigkg.cn\/ccks2020\/","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":"173","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":"26","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":"15% - 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":"5.5","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)"}}]}}