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.
A. Mazzei, D.P. Radicioni, R. Brighi (2009). NLP-based extraction of modificatory provisions semantics. NEW YORK, NY : ACM.
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.File in questo prodotto:
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