JOURNAL ARTICLE

Extracting semantic annotations from legal texts

Abstract

This paper illustrates a system designed to automatically extract semantic annotations of the normative modifications present in legal texts. The work relies on a deep parsing approach. The problem of semantically annotating legal texts is cast to the problem of mapping parse trees to semantic frames representing such modifications. We report a preliminary experimentation along with the dataset employed, and discuss the results to point out future improvements.

Keywords:
Computer science Parsing Natural language processing Artificial intelligence Point (geometry) Normative Semantic role labeling Information retrieval Semantic computing Semantics (computer science) Semantic Web Programming language

Metrics

12
Cited By
1.91
FWCI (Field Weighted Citation Impact)
11
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Artificial Intelligence in Law
Social Sciences →  Social Sciences →  Political Science and International Relations
Translation Studies and Practices
Social Sciences →  Arts and Humanities →  Language and Linguistics

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