We discuss how to implement these techniques with state-of-the-art NLP tools. Preliminary experimental results suggest that a combination of domain-specific ...

Our SMILE1 project explores new methods to extract information from and index textual cases. It uses a set of marked-up case summaries as examples in a machine ...

Preliminary experimental results suggest that a combination of domain-specific knowledge and information extraction techniques can be used to generalize ...

Our SMILE1 project explores new methods to extract informa- tion from and index textual cases. It uses a set of marked-up case summaries as examples in a ...

We discuss how to implement these techniques with state-of-the-art NLP tools. Preliminary experimental results suggest that a combination of domain-specific ...

We discuss how to implement these techniques with state-of-the-art NLP tools. Preliminary experimental results suggest that a combination of domain-specific ...

We are exploring how to use information extraction methods, especially AutoSlog, and certain linguistic information (e.g., about negation) to improve the ...

Improving the representation of legal case texts with information extraction methods. S. Brüninghaus, and K. Ashley. ICAIL, page 42-51. ACM, (2001 ). Links ...

Jun 1, 2019 · First, AI programs cannot read legal texts like lawyers can. Using statistical methods, AI can only extract some semantic information from legal.

In this paper we analyze the state-of-the-art of artificial intelligence approaches for legal domain, focusing on Legal Information Retrieval systems.