Professor Dr. Paulo Quaresma of Universidade de Évora Departamento de Informática has published Legal Information Extraction ← Machine Learning Algorithms + Linguistic Information, in LREC 2012 Conference Proceedings: Semantic Processing of Legal Texts (SPLeT-2012) Workshop, pp. 37-38.
Here is the abstract:
In order to automatically extract information from legal texts we propose the use of a mixed approach, using linguistic information and machine learning techniques. In the proposed architecture, lexical, syntactical, and semantical information is used as input for specialized machine learning algorithms, such as support vector machines. This approach was applied to collections of legal documents and the preliminary results were quite promising.
Tags: Computational linguistics and law, Deep linguistic information and legal texts, Legal computational linguistics, Legal information extraction, Legal knowledge extraction, Legal knowledge representation, Legal natural language processing, Legal ontologies, Machine learning in legal texts, Natural language processing of legal texts, Paulo Quaresma, SPLeT, SPLeT 2012, Workshop on Semantic Processing of Legal Texts