{"id":"https://openalex.org/W4416251858","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229207","title":"JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning","display_name":"JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251858","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229207"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111134948","display_name":"Zhaolu Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaolu Kang","raw_affiliation_strings":["Peking University,School of Software &amp; Microelectronics,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Software &amp; Microelectronics,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111330808","display_name":"H. Cai","orcid":"https://orcid.org/0009-0005-2162-4036"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hongtian Cai","raw_affiliation_strings":["Nanyang Technological University,School of Electrical &amp; Electronic Engineering,Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical &amp; Electronic Engineering,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["Jilin University,College of Software,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Software,Changchun,China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028609396","display_name":"Jinzhe Li","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinzhe Li","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101247220","display_name":"Nanfei Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanfei Gu","raw_affiliation_strings":["Shanghai Jiao Tong University,KoGuan School of Law,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,KoGuan School of Law,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111134948"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":22.8799,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.99226696,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.48980000615119934,"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":0.48980000615119934,"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/T10028","display_name":"Topic Modeling","score":0.24390000104904175,"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"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.013700000010430813,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7333999872207642},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6085000038146973},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5212000012397766},{"id":"https://openalex.org/keywords/contrastive-analysis","display_name":"Contrastive analysis","score":0.48669999837875366},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.44369998574256897},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.4323999881744385},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.36910000443458557}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7333999872207642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6534000039100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245999932289124},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6085000038146973},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5212000012397766},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49470001459121704},{"id":"https://openalex.org/C2777629044","wikidata":"https://www.wikidata.org/wiki/Q614959","display_name":"Contrastive analysis","level":2,"score":0.48669999837875366},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4323999881744385},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3781000077724457},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.36910000443458557},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C2777938197","wikidata":"https://www.wikidata.org/wiki/Q7834022","display_name":"Transfer of training","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C2780589192","wikidata":"https://www.wikidata.org/wiki/Q7285140","display_name":"Raising (metalworking)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C2993704820","wikidata":"https://www.wikidata.org/wiki/Q146491","display_name":"Criminal case","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C521078695","wikidata":"https://www.wikidata.org/wiki/Q4180175","display_name":"Legal practice","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2536769020","https://openalex.org/W2792864647","https://openalex.org/W2798580467","https://openalex.org/W2890026792","https://openalex.org/W2890436498","https://openalex.org/W2964068917","https://openalex.org/W2965006690","https://openalex.org/W2980808611","https://openalex.org/W2983258080","https://openalex.org/W2983419145","https://openalex.org/W2997429021","https://openalex.org/W3007157104","https://openalex.org/W3034892514","https://openalex.org/W3114610051","https://openalex.org/W3122220845","https://openalex.org/W3155151075","https://openalex.org/W3156831596","https://openalex.org/W3176443840","https://openalex.org/W4229046698","https://openalex.org/W4285120549","https://openalex.org/W4292198371","https://openalex.org/W4307268371","https://openalex.org/W4383710873","https://openalex.org/W4385245566","https://openalex.org/W4386857681","https://openalex.org/W4392199085","https://openalex.org/W4392301623","https://openalex.org/W4392904578"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"Unsupervised":[3],"Domain":[4],"Adaptation":[5],"(UDA)":[6],"has":[7],"gained":[8],"significant":[9],"attention":[10],"in":[11],"the":[12,45,55,71,103],"field":[13],"of":[14,58,73,133],"Natural":[15],"Language":[16],"Processing":[17],"(NLP)":[18],"owing":[19],"to":[20,23,69,95,117],"its":[21,31],"ability":[22],"enhance":[24],"model":[25,67],"generalization":[26],"across":[27,87],"diverse":[28],"domains.":[29,100,115],"However,":[30],"application":[32],"for":[33,102],"knowledge":[34,85,108],"transfer":[35,86,109],"between":[36,110],"distinct":[37],"legal":[38,52,89],"domains":[39,90],"remains":[40],"largely":[41],"unexplored.":[42],"To":[43],"address":[44],"challenges":[46],"posed":[47],"by":[48],"lengthy":[49],"and":[50,54,91,112,120,135],"complex":[51],"texts":[53],"limited":[56],"availability":[57],"large-scale":[59],"annotated":[60],"datasets,":[61],"we":[62,106],"propose":[63],"JurisCTC,":[64],"a":[65],"novel":[66],"designed":[68],"improve":[70],"accuracy":[72],"Legal":[74],"Judgment":[75],"Prediction":[76],"(LJP)":[77],"tasks.":[78],"Unlike":[79],"existing":[80],"approaches,":[81],"JurisCTC":[82,126],"facilitates":[83],"effective":[84],"various":[88],"employs":[92],"contrastive":[93],"learning":[94],"distinguish":[96],"samples":[97],"from":[98],"different":[99],"Specifically,":[101],"LJP":[104],"task,":[105],"enable":[107],"civil":[111],"criminal":[113],"law":[114],"Compared":[116],"other":[118],"models":[119,124],"specific":[121],"large":[122],"language":[123],"(LLMs),":[125],"demonstrates":[127],"notable":[128],"advancements,":[129],"achieving":[130],"peak":[131],"accuracies":[132],"76.59%":[134],"78.83%,":[136],"respectively.<sup":[137],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[138],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[139]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-11-14T00:00:00"}
