{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T19:01:39Z","timestamp":1786388499463,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,10]]},"DOI":"10.1145\/3626772.3657879","type":"proceedings-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T12:40:05Z","timestamp":1720701605000},"page":"2231-2240","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8124-4338","authenticated-orcid":false,"given":"Shounak","family":"Paul","sequence":"first","affiliation":[{"name":"Indian Institute of Technology, Kharagpur, Kharagpur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3513-956X","authenticated-orcid":false,"given":"Rajas","family":"Bhatt","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology, Kharagpur, Kharagpur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9414-8166","authenticated-orcid":false,"given":"Pawan","family":"Goyal","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology, Kharagpur, Kharagpur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2306-300X","authenticated-orcid":false,"given":"Saptarshi","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology, Kharagpur, Kharagpur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Longformer: The Long-Document Transformer. arxiv","author":"Beltagy Iz","year":"2020","unstructured":"Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020. Longformer: The Long-Document Transformer. arxiv: 2004.05150"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Ilias Chalkidis. 2023. ChatGPT may Pass the Bar Exam soon but has a Long Way to Go for the LexGLUE benchmark. arxiv: 2304.12202","DOI":"10.2139\/ssrn.4385460"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1424"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.22"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.297"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3-030--30490--4_20"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.534"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19--1423"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.408"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1128"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.48"},{"key":"e_1_3_2_1_12_1","volume-title":"NAACL-HLT (1)","author":"Gupta Prakhar","unstructured":"Prakhar Gupta, Matteo Pagliardini, and Martin Jaggi. 2019. Better Word Embeddings by Disentangling Contextual n-Gram Information. In NAACL-HLT (1). Association for Computational Linguistics, 933--939."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","unstructured":"Congqing He Li Peng Yuquan Le Jiawei He and Xiangyu Zhu. 2019. SECaps: A Sequence Enhanced Capsule Model for Charge Prediction. In Artificial Neural Networks and Machine Learning -- ICANN 2019: Text and Time Series. https:\/\/doi.org\/10.1007\/978--3-030--30490--4_19","DOI":"10.1007\/978--3-030--30490--4_19"},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 27th International Conference on Computational Linguistics.","author":"Hu Zikun","year":"2018","unstructured":"Zikun Hu, Xiang Li, Cunchao Tu, Zhiyuan Liu, and Maosong Sun. 2018. Few-Shot Charge Prediction with Discriminative Legal Attributes. In Proceedings of the 27th International Conference on Computational Linguistics."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0174698"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.3233\/FAIA200295"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557379"},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of the 24th Conference on Computational Linguistics and Speech Processing (ROCLING","author":"Lin Wan-Chen","year":"2012","unstructured":"Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, and Shou-de Lin. 2012. Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction. In Proceedings of the 24th Conference on Computational Linguistics and Speech Processing (ROCLING 2012)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2014.07.003"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1289"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21363"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3594536.3595165"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.831"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331223"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210057"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.280"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/567"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462826"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","unstructured":"Han Zhang Zhicheng Dou Yutao Zhu and Ji-Rong Wen. 2023. Contrastive Learning for Legal Judgment Prediction. ACM Trans. Inf. Syst. (2023). https:\/\/doi.org\/10.1145\/3580489","DOI":"10.1145\/3580489"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1390"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5479"}],"event":{"name":"SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Washington DC USA","acronym":"SIGIR 2024","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657879","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3626772.3657879","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:32:36Z","timestamp":1755840756000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657879"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":31,"alternative-id":["10.1145\/3626772.3657879","10.1145\/3626772"],"URL":"https:\/\/doi.org\/10.1145\/3626772.3657879","relation":{},"subject":[],"published":{"date-parts":[[2024,7,10]]},"assertion":[{"value":"2024-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}