Abstract
This paper provides the results of experiments on the detection of arguments in texts among which are legal texts. The detection is seen as a classification problem. A classifier is trained on a set of annotated arguments. Different feature sets are evaluated involving lexical, syntactic, semantic and discourse properties of the texts. The experiments are a first step in the context of automatically classifying arguments in legal texts according to their rhetorical type and their visualization for convenient access and search.
Original language | English |
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Title of host publication | Proceedings of the 11th International Conference on Artificial Intelligence and Law |
Publisher | Association for Computing Machinery |
Pages | 225-230 |
Number of pages | 6 |
ISBN (Print) | 9781595936806 |
DOIs | |
Publication status | Published - 2007 |
Event | 11th International Conference on Artificial Intelligence and Law - Palo Alto, United States Duration: 4 Jun 2007 → 8 Jun 2007 http://dl.acm.org/citation.cfm?id=1276318&picked=prox |
Conference
Conference | 11th International Conference on Artificial Intelligence and Law |
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Country/Territory | United States |
City | Palo Alto |
Period | 4/06/07 → 8/06/07 |
Internet address |