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Challenges of Terminology Extraction from Legal Spanish Corpora

Authors: Martín-Chozas, Patricia; Calleja, Pablo;

Challenges of Terminology Extraction from Legal Spanish Corpora

Abstract

Untangling the complexities of legal documentation is an imperative need for non practitioners of the legal profession. The terminology used in the domain is complex and it usually requires expert knowledge to be fully understood, since the legal framework is constantly being updated and the meaning of terms vary accordingly. Non-proprietary Automatic Terminology Extraction (ATE) tools are required in this particular domain in which documents contain private and sensitive data. This paper describes methods for obtaining accurate legal terms from labour law corpora, overcoming the difficulties present in the area, and also analyses the peculiarities of the legal jargon, specifically, in Spanish language. The performed experiments, executed with JATE, a well-known open source library in the ATE literature, are still preliminary, but promising.

Country
Spain
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Keywords

Informática, automatic term extraction, semantic web technologies, Derecho, Automatic Term Extraction, legal terminology, natural language processing, Semantic Web Technologies, Legal terminology, Natural Language Processing, Filología

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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