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2016 | OriginalPaper | Buchkapitel

GaiusT 2.0: Evolution of a Framework for Annotating Legal Documents

verfasst von : Nicola Zeni, Luisa Mich, John Mylopoulos

Erschienen in: Metadata and Semantics Research

Verlag: Springer International Publishing

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Abstract

Semantic annotation technologies support the extraction of legal concepts, for example rights and obligations, from legal documents. For software engineers, the final goal is to identify compliance requirements a software system has to fulfill in order to comply with a law or regulation. That implies analyzing and annotating legal documents in prescriptive natural language, still an open problem for research in the field. In this paper we describe GaiusT 2.0, a system for extracting requirements from legal documents. GaiusT 2.0 is the result of the evolution of GaiusT, and has been designed and implemented as a web-based system intended to semi-automate the extraction process. Results of the application of GaiusT 2.0 show that the new version improves performance of the extraction process and also makes the tool more usable.

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Vorheriges Kapitel Linkset Quality Assessment for the Thesaurus Framework LusTRE
Nächstes Kapitel Knowledge Extraction from Audio Content Service Providers’ API Descriptions
Fußnoten
1
  • Recall is a measure of how well the tool performs in finding relevant items TP/(TP + FN);
  • Precision is a measure of how well the tool performs in not returning irrelevant items TP/(TP + FP);
  • Fallout is a measure of how quickly precision drops as recall is increased FP/(FP + TN);
  • Accuracy is a measure of how well the tool identifies relevant items and rejects irrelevant ones (TP + TN)/N;
  • Error is a measure of how much the tool is prone to accept irrelevant items and rejects relevant ones (FP + FN)/N;
  • F-measure is a harmonic mean of recall and precision 2 × Recall × Precision/(Recall + Precision)
where TP is the number of items correctly assigned to the category; FP is the number of items incorrectly assigned to the category; FN is the number of items incorrectly rejected from the category; TN is the number of items correctly rejected from the category; and N is the total number of items N = TP + FP + FN + TN.
 
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Metadaten
Titel
GaiusT 2.0: Evolution of a Framework for Annotating Legal Documents
verfasst von
Nicola Zeni
Luisa Mich
John Mylopoulos
Copyright-Jahr
2016
Buch
Metadata and Semantics Research

Print ISBN: 978-3-319-49156-1

Electronic ISBN: 978-3-319-49157-8

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-49157-8_4

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