April 16, 2024, 4:51 a.m. | Jie Zhou, Xin Chen, Hang Zhang, Zhe Li

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.09416v1 Announce Type: new
Abstract: In this paper, we explore the application of cognitive intelligence in legal knowledge, focusing on the development of judicial artificial intelligence. Utilizing natural language processing (NLP) as the core technology, we propose a method for the automatic construction of case knowledge graphs for judicial cases. Our approach centers on two fundamental NLP tasks: entity recognition and relationship extraction. We compare two pre-trained models for entity recognition to establish their efficacy. Additionally, we introduce a multi-task …

abstract application artificial artificial intelligence arxiv case cases cognitive construction core cs.cl development explore graph graphs intelligence knowledge knowledge graph knowledge graphs language language processing legal natural natural language natural language processing nlp paper processing technology type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Risk Management - Machine Learning and Model Delivery Services, Product Associate - Senior Associate-

@ JPMorgan Chase & Co. | Wilmington, DE, United States

Senior ML Engineer (Speech/ASR)

@ ObserveAI | Bengaluru