In this paper we illustrare a research based on NLP techniques aimed at automatically annotate modificatory provisions. We propose an approach which pairs deep syntactic parsing with rule-based shallow semantic analysis relying on a fine-grained taxonomy of modificatory provisions. The implemented system is evaluated on a large dataset hand-crafted by legal experts; the results are discussed and future directions of the research outlined.

NLP-based extraction of modificatory provisions semantics

BRIGHI, RAFFAELLA
2009

Abstract

In this paper we illustrare a research based on NLP techniques aimed at automatically annotate modificatory provisions. We propose an approach which pairs deep syntactic parsing with rule-based shallow semantic analysis relying on a fine-grained taxonomy of modificatory provisions. The implemented system is evaluated on a large dataset hand-crafted by legal experts; the results are discussed and future directions of the research outlined.
Proceedings of the 12th International Conference on Artificial Intelligence and Law
50
57
A. Mazzei; D.P. Radicioni; R. Brighi
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/78770
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