{"type":"ScholarlyArticle","title":"Legal Judgment Prediction: A Survey of the State of the Art","authors":[{"name":"Yi Feng","slug":"yi-feng","given":"Yi","family":"Feng","affiliation":"State Key Laboratory for Novel Software Technology , Nanjing University , Nanjing , China"},{"name":"Chuanyi Li","slug":"chuanyi-li","given":"Chuanyi","family":"Li","affiliation":"State Key Laboratory for Novel Software Technology , Nanjing University , Nanjing , China"},{"name":"Vincent Ng","slug":"vincent-ng","given":"Vincent","family":"Ng","affiliation":"Human Language Technology Research Institute , University of Texas at Dallas , Richardson , Texas , USA"}],"abstract":"Automatic legal judgment prediction (LJP) has recently received increasing attention in the natural language processing community in part because of its practical values as well as the associated research challenges. We present an overview of the major milestones made in LJP research covering multiple jurisdictions and multiple languages, and conclude with promising future research directions.","doi":"10.24963/ijcai.2022/765","url":"https://ijcai.org/proceedings/2022/765","pdf":"https://ijcai.org/proceedings/2022/0765.pdf","markdown":"https://ijcai.org/proceedings/2022/765.md","bibtex":"https://ijcai.org/proceedings/2022/bibtex/765","volume":{"slug":"2022","title":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2022","url":"https://ijcai.org/proceedings/2022/","year":2022,"location":"Vienna","dates":"23-29 July 2022","editors":"Luc De Raedt","isbn":"978-1-956792-00-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2022"},"section":"Survey Track","track":"Survey Track","number":765,"pages":{"first":5461,"last":5469},"keywords":["Survey Track: Natural Language Processing"],"videos":[{"label":"Video #1","url":"https://slideslive.com/38987305","length_sec":42,"provider":"slideslive"},{"label":"Video #2","url":"https://slideslive.com/38985448","length_sec":654,"provider":"slideslive"}],"references":[{"position":1,"raw":"[Aletras et al., 2016] Nikolaos Aletras, Dimitrios Tsarapat- sanis, Daniel Preotiuc-Pietro, and Vasileios Lampos. 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