{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:57Z","timestamp":1750220097886,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,19]],"date-time":"2021-10-19T00:00:00Z","timestamp":1634601600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Sichuan Science and Technology Planning Project","award":["2021YFG0317 2021YFG0301"],"award-info":[{"award-number":["2021YFG0317 2021YFG0301"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,19]]},"DOI":"10.1145\/3487075.3487161","type":"proceedings-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T20:35:15Z","timestamp":1638909315000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["CLASS: A Novel Method for Chinese Legal Judgments Summarization"],"prefix":"10.1145","author":[{"given":"Dongjin","family":"Li","sequence":"first","affiliation":[{"name":"Department of Computer Science, Sichuan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Yang","sequence":"additional","affiliation":[{"name":"China National Tobacco Corporation Sichuan Province Co., China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chengdu Ruibei Yingte Information Technology Limited Company, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dawei","family":"Yin","sequence":"additional","affiliation":[{"name":"Sichuan Zhiqian Technology Co., Ltd, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dezhong","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Sichuan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,12,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Neural summarization by extracting sentences and words. arXiv preprint arXiv:1603.07252","author":"Cheng J.","year":"2016","unstructured":"Cheng , J. , & Lapata , M. ( 2016 ). Neural summarization by extracting sentences and words. arXiv preprint arXiv:1603.07252 . Cheng, J., & Lapata, M. (2016). Neural summarization by extracting sentences and words. arXiv preprint arXiv:1603.07252."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10958"},{"key":"e_1_3_2_1_3_1","volume-title":"Classifying with adaptive hyper-spheres: An incremental classifier based on competitive learning","author":"Li T.","year":"2017","unstructured":"Li , T. , Kou , G. , Peng , Y. , & Shi , Y. ( 2017 ). Classifying with adaptive hyper-spheres: An incremental classifier based on competitive learning . IEEE transactions on systems, man, and cybernetics: systems, 50(4), 1218-1229. Li, T., Kou, G., Peng, Y., & Shi, Y. (2017). Classifying with adaptive hyper-spheres: An incremental classifier based on competitive learning. IEEE transactions on systems, man, and cybernetics: systems, 50(4), 1218-1229."},{"key":"e_1_3_2_1_4_1","volume-title":"Fine-tune BERT for extractive summarization. arXiv preprint arXiv:1903.10318","author":"Liu Y.","year":"2019","unstructured":"Liu , Y. ( 2019 ). Fine-tune BERT for extractive summarization. arXiv preprint arXiv:1903.10318 . Liu, Y. (2019). Fine-tune BERT for extractive summarization. arXiv preprint arXiv:1903.10318."},{"key":"e_1_3_2_1_5_1","volume-title":"Extractive summarization as text matching. arXiv preprint arXiv:2004.08795","author":"Zhong M.","year":"2020","unstructured":"Zhong , M. , Liu , P. , Chen , Y. , Wang , D. , Qiu , X. , & Huang , X. ( 2020 ). Extractive summarization as text matching. arXiv preprint arXiv:2004.08795 . Zhong, M., Liu, P., Chen, Y., Wang, D., Qiu, X., & Huang, X. (2020). Extractive summarization as text matching. arXiv preprint arXiv:2004.08795."},{"key":"e_1_3_2_1_6_1","volume-title":"A neural attention model for abstractive sentence summarization. arXiv preprint arXiv:1509.00685","author":"Rush A. M.","year":"2015","unstructured":"Rush , A. M. , Chopra , S. , & Weston , J. ( 2015 ). A neural attention model for abstractive sentence summarization. arXiv preprint arXiv:1509.00685 . Rush, A. M., Chopra, S., & Weston, J. (2015). A neural attention model for abstractive sentence summarization. arXiv preprint arXiv:1509.00685."},{"key":"e_1_3_2_1_7_1","volume-title":"A deep reinforced model for abstractive summarization. arXiv preprint arXiv:1705.04304","author":"Paulus R.","year":"2017","unstructured":"Paulus , R. , Xiong , C. , & Socher , R. ( 2017 ). A deep reinforced model for abstractive summarization. arXiv preprint arXiv:1705.04304 . Paulus, R., Xiong, C., & Socher, R. (2017). A deep reinforced model for abstractive summarization. arXiv preprint arXiv:1705.04304."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.02.102"},{"key":"e_1_3_2_1_9_1","volume-title":"Get to the point: Summarization with pointer-generator networks. arXiv preprint arXiv:1704.04368","author":"Liu P. J.","year":"2017","unstructured":"See, A., Liu , P. J. , & Manning , C. D. ( 2017 ). Get to the point: Summarization with pointer-generator networks. arXiv preprint arXiv:1704.04368 . See, A., Liu, P. J., & Manning, C. D. (2017). Get to the point: Summarization with pointer-generator networks. arXiv preprint arXiv:1704.04368."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102478"},{"key":"e_1_3_2_1_11_1","volume-title":"Lcsts: A large scale chinese short text summarization dataset. arXiv preprint arXiv:1506.05865","author":"Hu B.","year":"2015","unstructured":"Hu , B. , Chen , Q. , & Zhu , F. ( 2015 ). Lcsts: A large scale chinese short text summarization dataset. arXiv preprint arXiv:1506.05865 . Hu, B., Chen, Q., & Zhu, F. (2015). Lcsts: A large scale chinese short text summarization dataset. arXiv preprint arXiv:1506.05865."},{"key":"e_1_3_2_1_12_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin J.","year":"2018","unstructured":"Devlin , J. , Chang , M. W. , Lee , K. , & Toutanova , K. ( 2018 ). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 . Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805."},{"key":"e_1_3_2_1_13_1","volume-title":"Abstractive text summarization using sequence-to-sequence rnns and beyond. arXiv preprint arXiv:1602.06023","author":"Nallapati R.","year":"2016","unstructured":"Nallapati , R. , Zhou , B. , Gulcehre , C. , & Xiang , B. ( 2016 ). Abstractive text summarization using sequence-to-sequence rnns and beyond. arXiv preprint arXiv:1602.06023 . Nallapati, R., Zhou, B., Gulcehre, C., & Xiang, B. (2016). Abstractive text summarization using sequence-to-sequence rnns and beyond. arXiv preprint arXiv:1602.06023."},{"key":"e_1_3_2_1_14_1","volume-title":"Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473","author":"Bahdanau D.","year":"2014","unstructured":"Bahdanau , D. , Cho , K. , & Bengio , Y. ( 2014 ). Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 . Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473."},{"key":"e_1_3_2_1_15_1","volume-title":"Autoencoder as assistant supervisor: Improving text representation for chinese social media text summarization. arXiv preprint arXiv:1805.04869","author":"Ma S.","year":"2018","unstructured":"Ma , S. , Sun , X. , Lin , J. , & Wang , H. ( 2018 ). Autoencoder as assistant supervisor: Improving text representation for chinese social media text summarization. arXiv preprint arXiv:1805.04869 . Ma, S., Sun, X., Lin, J., & Wang, H. (2018). Autoencoder as assistant supervisor: Improving text representation for chinese social media text summarization. arXiv preprint arXiv:1805.04869."},{"key":"e_1_3_2_1_16_1","volume-title":"Global encoding for abstractive summarization. arXiv preprint arXiv:1805.03989","author":"Lin J.","year":"2018","unstructured":"Lin , J. , Sun , X. , Ma , S. , & Su , Q. ( 2018 ). Global encoding for abstractive summarization. arXiv preprint arXiv:1805.03989 . Lin, J., Sun, X., Ma, S., & Su, Q. (2018). Global encoding for abstractive summarization. arXiv preprint arXiv:1805.03989."},{"key":"e_1_3_2_1_17_1","volume-title":"Unified language model pre-training for natural language understanding and generation. arXiv preprint arXiv:1905.03197","author":"Dong L.","year":"2019","unstructured":"Dong , L. , Yang , N. , Wang , W. , Wei , F. , Liu , X. , Wang , Y. , ... & Hon , H. W. ( 2019 ). Unified language model pre-training for natural language understanding and generation. arXiv preprint arXiv:1905.03197 . Dong, L., Yang, N., Wang, W., Wei, F., Liu, X., Wang, Y., ... & Hon, H. W. (2019). Unified language model pre-training for natural language understanding and generation. arXiv preprint arXiv:1905.03197."},{"volume-title":"Proceedings of Workshop on Text Summarization of ACL, Spain.","year":"2004","key":"e_1_3_2_1_18_1","unstructured":"ROUGE, L. C. ( 2004 , July). A package for automatic evaluation of summaries . In Proceedings of Workshop on Text Summarization of ACL, Spain. ROUGE, L. C. (2004, July). A package for automatic evaluation of summaries. In Proceedings of Workshop on Text Summarization of ACL, Spain."}],"event":{"name":"CSAE 2021: The 5th International Conference on Computer Science and Application Engineering","acronym":"CSAE 2021","location":"Sanya China"},"container-title":["Proceedings of the 5th International Conference on Computer Science and Application Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487075.3487161","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3487075.3487161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:10:10Z","timestamp":1750183810000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487075.3487161"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,19]]},"references-count":18,"alternative-id":["10.1145\/3487075.3487161","10.1145\/3487075"],"URL":"https:\/\/doi.org\/10.1145\/3487075.3487161","relation":{},"subject":[],"published":{"date-parts":[[2021,10,19]]},"assertion":[{"value":"2021-12-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}