Extracting semantic annotations from legal texts

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Extracting semantic annotations from legal texts

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Conference on Hypertext and Hypermedia archive
Proceedings of the 20th ACM conference on Hypertext and hypermedia table of contents

Torino, Italy

SESSION: Content analysis table of contents

Pages 167-172

Year of Publication: 2009

ISBN:978-1-60558-486-7

Authors

Leonardo Lesmo	Università degli Studi di Torino, Torino, Italy
Alessandro Mazzei	Università degli Studi di Torino, Torino, Italy
Daniele P. Radicioni	Università degli Studi di Torino, Torino, Italy

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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