Statistical Recognition of References in Czech Court Decisions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289385" target="_blank" >RIV/00216208:11320/14:10289385 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Statistical Recognition of References in Czech Court Decisions
Original language description
We address the task of detection and classification of references in Czech court decisions, mainly we focus on references to other court decisions and acts. We handle these references like entities in the task of Named Entity Recognition. In addition, weare interested in detection of institutions that issued documents under consideration. Attributes like the applicability of law have been studied as well. We approach the task using machine learning methods, namely HMM and Perceptron algorithm. We report F-measure over 90% for each entity. The results significantly outperform the systems published previously.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA02010182" target="_blank" >TA02010182: Intelligent Library - INTLIB</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part I
ISBN
978-3-319-13646-2
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
51-61
Publisher name
Springer International Publishing
Place of publication
Switzerland
Event location
Tuxtla Gutiérrez, Chiapas, Mexico
Event date
Nov 16, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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