{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:43:32Z","timestamp":1743036212008,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":11,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811664700"},{"type":"electronic","value":"9789811664717"}],"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\/978-981-16-6471-7_25","type":"book-chapter","created":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T23:03:34Z","timestamp":1635375814000},"page":"302-307","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RCWI: A Dataset for Chinese Complex Word Identification"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6505-661X","authenticated-orcid":false,"given":"Mengxi","family":"Que","sequence":"first","affiliation":[]},{"given":"Yufei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Dong","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,28]]},"reference":[{"key":"25_CR1","unstructured":"Dong, Y., Siyuan, W., Zhaoyang, G., Yuling, T.: Assessing sentence difficulty in Chinese textbooks based on crowdsourcing. J. Chin. Inf. Process. 34(2) (2020). (in Chinese)"},{"key":"25_CR2","doi-asserted-by":"crossref","unstructured":"Gooding, S., Kochmar, E., Blackwell, A., Sakar, A.: Comparative judgements are more consistent than binary classification for labelling word complexity (2019)","DOI":"10.18653\/v1\/W19-4024"},{"key":"25_CR3","unstructured":"Hanban: New HSK Syllabus (2009). (in Chinese)"},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"Maddela, M., Wei, X.: A word-complexity lexicon and a neural readability ranking model for lexical simplification. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (2018)","DOI":"10.18653\/v1\/D18-1410"},{"key":"25_CR5","doi-asserted-by":"crossref","unstructured":"Paetzold, G., Specia, L.: SemEval 2016 task 11: complex word identification. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) (2016)","DOI":"10.18653\/v1\/S16-1085"},{"key":"25_CR6","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in python (2012)"},{"key":"25_CR7","unstructured":"Shardlow, M., Cooper, M., Zampieri, M.: Complex \u2013 a new corpus for lexical complexity predicition from likert scale data (2020)"},{"key":"25_CR8","unstructured":"Stenetorp, P., Pyysalo, S., Topi\u2019C, G., Ohta, T., Ananiadou, S., Tsujii, J.: Brat: a web-based tool for NLP-assisted text annotation. Association for Computational Linguistics (2012)"},{"key":"25_CR9","unstructured":"Xinchun, S.: Theory and method in compiling list of common words in compulsory education (draft). Appl. Linguist. 103(03), 2\u201311 (2017). (in Chinese)"},{"key":"25_CR10","unstructured":"Yimam, S.M., \u0160tajner, S., Riedl, M., Biemann, C.: CWIG3G2 - complex word identification task across three text genres and two user groups. In: Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Taipei, Taiwan, pp. 401\u2013407. Asian Federation of Natural Language Processing, November 2017. https:\/\/www.aclweb.org\/anthology\/I17-2068"},{"key":"25_CR11","unstructured":"Yuling, T., Dong, Y.: The method of calculating sentence readability combined with deep learning and language difficulty characteristics. In: Proceedings of the 19th Chinese National Conference on Computational Linguistics, Haikou, China, pp. 731\u2013742. Chinese Information Processing Society of China, October 2020. (in Chinese). https:\/\/www.aclweb.org\/anthology\/2020.ccl-1.68"}],"container-title":["Communications in Computer and Information Science","Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-6471-7_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T11:14:42Z","timestamp":1710328482000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-6471-7_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811664700","9789811664717"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-6471-7_25","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":"28 October 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":"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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 November 2021","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":"ccks2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/sigkg.cn\/ccks2021\/","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":"170","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":"19","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":"9","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":"11% - 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":"4.5","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)"}}]}}