Text retrieval in the legal world

Artificial Intelligence and Law 3 (1-2):5-54 (1995)
The ability to find relevant materials in large document collections is a fundamental component of legal research. The emergence of large machine-readable collections of legal materials has stimulated research aimed at improving the quality of the tools used to access these collections. Important research has been conducted within the traditional information retrieval, the artificial intelligence, and the legal communities with varying degrees of interaction between these groups. This article provides an introduction to text retrieval and surveys the main research related to the retrieval of legal materials.
Keywords Bayesian inference networks  natural language  probability
Categories (categorize this paper)
DOI 10.1007/BF00877694
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
Download options
PhilPapers Archive

Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 16,667
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA
Stephen E. Toulmin (2003). The Uses of Argument. Monograph Collection (Matt - Pseudo).

Add more references

Citations of this work BETA

Add more citations

Similar books and articles
Luuk Matthijssen (1998). A Task-Based Interface to Legal Databases. Artificial Intelligence and Law 6 (1):81-103.

Monthly downloads

Added to index


Total downloads

15 ( #175,574 of 1,727,288 )

Recent downloads (6 months)

4 ( #183,615 of 1,727,288 )

How can I increase my downloads?

My notes
Sign in to use this feature

Start a new thread
There  are no threads in this forum
Nothing in this forum yet.