{"id":"https://openalex.org/W4285601006","doi":"https://doi.org/10.24963/ijcai.2022/765","title":"Legal Judgment Prediction: A Survey of the State of the Art","display_name":"Legal Judgment Prediction: A Survey of the State of the Art","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285601006","doi":"https://doi.org/10.24963/ijcai.2022/765"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/765","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/765","pdf_url":"https://www.ijcai.org/proceedings/2022/0765.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2022/0765.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101558183","display_name":"Yi Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Feng","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053034433","display_name":"Chuanyi Li","orcid":"https://orcid.org/0000-0003-4956-8142"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyi Li","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102732054","display_name":"Vincent Ng","orcid":"https://orcid.org/0000-0001-8237-429X"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent Ng","raw_affiliation_strings":["Human Language Technology Research Institute, University of Texas at Dallas, Richardson, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Research Institute, University of Texas at Dallas, Richardson, Texas, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5461","last_page":"5469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12755","display_name":"Legal Education and Practice Innovations","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5950003862380981},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5134630799293518},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4149680733680725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3455617427825928},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.097901850938797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5950003862380981},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5134630799293518},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4149680733680725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3455617427825928},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.097901850938797}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/765","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/765","pdf_url":"https://www.ijcai.org/proceedings/2022/0765.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/765","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/765","pdf_url":"https://www.ijcai.org/proceedings/2022/0765.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5400000214576721,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4162813058","display_name":"RI: Small: Fast, Scalable Joint Inference for NLP using Markov Logic","funder_award_id":"1528037","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6607556526","display_name":null,"funder_award_id":"61802167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285601006.pdf","grobid_xml":"https://content.openalex.org/works/W4285601006.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1979482500","https://openalex.org/W2158794898","https://openalex.org/W2164386086","https://openalex.org/W2395585048","https://openalex.org/W2516809705","https://openalex.org/W2536769020","https://openalex.org/W2594633041","https://openalex.org/W2695362798","https://openalex.org/W2765146466","https://openalex.org/W2765440119","https://openalex.org/W2798580467","https://openalex.org/W2856961199","https://openalex.org/W2858159822","https://openalex.org/W2883126060","https://openalex.org/W2884931588","https://openalex.org/W2890026792","https://openalex.org/W2955845608","https://openalex.org/W2962854673","https://openalex.org/W2963387630","https://openalex.org/W2963808661","https://openalex.org/W2983258080","https://openalex.org/W2990471172","https://openalex.org/W2997429021","https://openalex.org/W2998733856","https://openalex.org/W3006170025","https://openalex.org/W3034892514","https://openalex.org/W3035310383","https://openalex.org/W3035668167","https://openalex.org/W3098487628","https://openalex.org/W3099641295","https://openalex.org/W3099950029","https://openalex.org/W3101273072","https://openalex.org/W3103181983","https://openalex.org/W3109563852","https://openalex.org/W3116365291","https://openalex.org/W3118106810","https://openalex.org/W3122334902","https://openalex.org/W3126161367","https://openalex.org/W3136888420","https://openalex.org/W3137239592","https://openalex.org/W3156638011","https://openalex.org/W3156831596","https://openalex.org/W3173549151","https://openalex.org/W3176443840","https://openalex.org/W3177382889","https://openalex.org/W3203176827","https://openalex.org/W3215639742","https://openalex.org/W4200630998","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Automatic":[0],"legal":[1],"judgment":[2],"prediction":[3],"(LJP)":[4],"has":[5],"recently":[6],"received":[7],"increasing":[8],"attention":[9],"in":[10,16,39],"the":[11,26,35],"natural":[12],"language":[13],"processing":[14],"community":[15],"part":[17],"because":[18],"of":[19,34],"its":[20],"practical":[21],"values":[22],"as":[23,25],"well":[24],"associated":[27],"research":[28,41,53],"challenges.":[29],"We":[30],"present":[31],"an":[32],"overview":[33],"major":[36],"milestones":[37],"made":[38],"LJP":[40],"covering":[42],"multiple":[43,46],"jurisdictions":[44],"and":[45,48],"languages,":[47],"conclude":[49],"with":[50],"promising":[51],"future":[52],"directions.":[54]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2022-07-16T00:00:00"}