JTagger - Automatic Reference Recognition in Court Decisions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194839" target="_blank" >RIV/00216208:11320/13:10194839 - isvavai.cz</a>

Result on the web

<a href="http://ufal.mff.cuni.cz/jtagger/" target="_blank" >http://ufal.mff.cuni.cz/jtagger/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

JTagger - Automatic Reference Recognition in Court Decisions

Original language description

We address the task of reference detection and classification in Czech court decisions. This task is a typical named-entity recognition task where the entities are references (links) to other documents. We apply a supervised machine learning approach, namely Hidden Markov Models. A supervised methodology requires manual annotation of training data so we annotated 300 court decisions.

Czech name

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Czech description

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Type

R - Software

CEP classification

AI - Linguistics

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID

1.0

Technical parameters

http://ufal.mff.cuni.cz/jtagger/

Economical parameters

10,000,000 Kč

Owner IČO

00216208

Owner name

Univerzita Karlova v Praze