{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:11:23Z","timestamp":1743070283351,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030841850"},{"type":"electronic","value":"9783030841867"}],"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\/978-3-030-84186-7_17","type":"book-chapter","created":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T10:03:42Z","timestamp":1628330622000},"page":"257-267","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Unifying Discourse Resources with Dependency Framework"],"prefix":"10.1007","author":[{"given":"Yi","family":"Cheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sujian","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yueyuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,8]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Carlson, L., Marcu, D., Okurowski, M.E.: Building a discourse-tagged corpus in the framework of Rhetorical structure theory. In: Proceedings of the Second SIGDIAL Workshop on Discourse and Dialogue-Volume 16, pp. 1\u201310, September 2001","DOI":"10.3115\/1118078.1118083"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Cheng, Y., Li, S.: Zero-shot Chinese discourse dependency parsing via cross-lingual mapping. In: Proceedings of the 1st Workshop on Discourse Structure in Neural NLG, pp. 24\u201329, November 2019","DOI":"10.18653\/v1\/W19-8104"},{"key":"17_CR3","unstructured":"Devlin, J., Chang, M. W., Lee, K., Toutanova, K.: 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, Volume 1 (Long and Short Papers), pp. 4171\u20134186, June 2019"},{"key":"17_CR4","unstructured":"Hirao, T., Yoshida, Y., Nishino, M., Yasuda, N., Nagata, M.: Single-document summarization as a tree knapsack problem. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1515\u20131520, October 2013"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Li, S., et al.: Text-level discourse dependency parsing. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 25\u201335 (2014)","DOI":"10.3115\/v1\/P14-1003"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Li, Y., et al.: Building Chinese discourse corpus with connective-driven dependency tree structure. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 2105\u20132114 (2014)","DOI":"10.3115\/v1\/D14-1224"},{"key":"17_CR7","doi-asserted-by":"crossref","unstructured":"Liu, Y., Li, S., Zhang, X., Sui, Z. (2016, February). Implicit discourse relation classification via multi-task neural networks. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (pp. 2750\u20132756)","DOI":"10.1609\/aaai.v30i1.10339"},{"issue":"3","key":"17_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3028772","volume":"16","author":"H Li","year":"2017","unstructured":"Li, H., Zhang, J., Zong, C.: Implicit discourse relation recognition for English and Chinese with multiview modeling and effective representation learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. (TALLIP) 16(3), 1\u201321 (2017)","journal-title":"ACM Trans. Asian Low Resour. Lang. Inf. Process. (TALLIP)"},{"issue":"2","key":"17_CR9","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1162\/coli_a_00314","volume":"44","author":"M Morey","year":"2018","unstructured":"Morey, M., Muller, P., Asher, N.: A dependency perspective on RST discourse parsing and evaluation. Comput. Linguist. 44(2), 197\u2013235 (2018)","journal-title":"Comput. Linguist."},{"key":"17_CR10","unstructured":"Muller, P., Afantenos, S., Denis, P., Asher, N.: Constrained decoding for text-level discourse parsing. In: Proceedings of the 24th International Conference on Computational Linguistics (COLING), December 2012"},{"key":"17_CR11","unstructured":"Nivre, J., Hall, J., Nilsson, J.: Memory-based dependency parsing. In: Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL) at HLT-NAACL 2004, pp. 49\u201356 (2004)"},{"key":"17_CR12","unstructured":"Nivre, J.: An efficient algorithm for projective dependency parsing. In: Proceedings of the Eighth International Conference on Parsing Technologies, pp. 149\u2013160, April 2003"},{"key":"17_CR13","unstructured":"Prasad, R., et al.: The Penn Discourse TreeBank 2.0. In: LREC, May 2008"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Wang, Y., Li, S., Wang, H.: A two-stage parsing method for text-level discourse analysis. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 184\u2013188, July 2017","DOI":"10.18653\/v1\/P17-2029"},{"issue":"2","key":"17_CR15","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1017\/S135132490400364X","volume":"11","author":"N Xue","year":"2005","unstructured":"Xue, N., Xia, F., Chiou, F.D., Palmer, M.: The penn Chinese TreeBank: phrase structure annotation of a large corpus. Nat. Lang. Eng. 11(2), 207 (2005)","journal-title":"Nat. Lang. Eng."},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Yang, A., Li, S.: SciDTB: discourse dependency TreeBank for scientific abstracts. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 444\u2013449, July 2018","DOI":"10.18653\/v1\/P18-2071"},{"key":"17_CR17","unstructured":"Yang, J., Li, S.: Chinese discourse segmentation using bilingual discourse commonality. arXiv preprint arXiv:1809.01497 (2018)"},{"issue":"2","key":"17_CR18","first-page":"28","volume":"28","author":"M Zhang","year":"2014","unstructured":"Zhang, M., Qin, B., Liu, T.: Chinese discourse relation semantic taxonomy and annotation. J. Chin. Inf. Process. 28(2), 28\u201336 (2014)","journal-title":"J. Chin. Inf. Process."}],"container-title":["Lecture Notes in Computer Science","Chinese Computational Linguistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-84186-7_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T21:44:17Z","timestamp":1673041457000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-84186-7_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030841850","9783030841867"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-84186-7_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"8 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China National Conference on Chinese Computational Linguistics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hohhot","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cncl2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cips-cl.org\/static\/CCL2021\/en\/index.html","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":"www.softconf.com","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"90","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":"31","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":"34% - 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":"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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}