{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T03:15:12Z","timestamp":1776741312442,"version":"3.51.2"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,1]]},"DOI":"10.1109\/ssci47803.2020.9308506","type":"proceedings-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T23:12:38Z","timestamp":1609888358000},"page":"1757-1761","source":"Crossref","is-referenced-by-count":2,"title":["Predicting the outcome of judicial cases using semantic analysis"],"prefix":"10.1109","author":[{"given":"Rohit","family":"Pande","sequence":"first","affiliation":[]},{"given":"Shafiq","family":"Alam","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1390"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2945771"},{"key":"ref12","article-title":"CAIL2018: A large-scale legal dataset for judgment prediction","author":"xiao","year":"2018","journal-title":"ArXiv e-prints"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186015"},{"key":"ref14","article-title":"Text classification using capsules","author":"kim","year":"2018","journal-title":"ArXiv e-prints"},{"key":"ref15","year":"2018","journal-title":"Employment law database"},{"key":"ref16","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref18","year":"2018","journal-title":"The 68-95-99 7 Rule For Normal Distributions"},{"key":"ref4","first-page":"426","article-title":"Legal data mining from civil judgments","author":"sharafat","year":"2018","journal-title":"International Conference on Intelligent Technologies and Applications"},{"key":"ref3","article-title":"Legal area classification: A comparative study of text classifiers on singapore supreme court judgments","volume":"abs 1904 6470","author":"howe","year":"2019","journal-title":"CoRR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.15439\/2018F227"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0176999"},{"key":"ref8","first-page":"146","article-title":"Interpretable rationale augmented charge prediction system","author":"jiang","year":"2018","journal-title":"Proceedings of the 27th International Conference on Computational Linguistics System Demonstrations"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/s10506-019-09255-y","article-title":"Using machine learning to predict decisions of the european court of human rights","volume":"28","author":"masha","year":"2020","journal-title":"Artificial Intelligence and Law"},{"key":"ref2","first-page":"271","article-title":"A comparative method of legal documents based on lda","author":"hao","year":"2018","journal-title":"International Conference on Applications and Techniques in Cyber Security and Intelligence"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32381-3_45"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.32604\/cmc.2020.06787","article-title":"Prison term prediction on criminal case description with deep learning","volume":"62","author":"shang","year":"2020","journal-title":"Computers Materials & Continua"}],"event":{"name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","location":"Canberra, ACT, Australia","start":{"date-parts":[[2020,12,1]]},"end":{"date-parts":[[2020,12,4]]}},"container-title":["2020 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9308061\/9308107\/09308506.pdf?arnumber=9308506","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:18:17Z","timestamp":1656602297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9308506\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,1]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/ssci47803.2020.9308506","relation":{},"subject":[],"published":{"date-parts":[[2020,12,1]]}}}