Domain Collocation Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F09%3A00038425" target="_blank" >RIV/00216224:14330/09:00038425 - 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
Domain Collocation Identification
Original language description
In this paper we present a new method of automatic collocation identification. Collocation is an important relation between words, which is widely used, among others, in information retrieval tasks. Over the last years, many methods of automatic collocation acquisition from text corpora have been proposed. The approach described in this paper differs from the others by focusing on domain collocations. By the domain collocation we mean a collocation which is specific for a relatively small set of documents related to the same topic. The proposed method has been implemented and used in a real information retrieval system. Comparing to the common non-domain approach, the precision of the system has increased significantly.
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/LC536" target="_blank" >LC536: Integrated center for natural language processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
RASLAN 2009 : Recent Advances in Slavonic Natural Language Processing
ISBN
978-80-210-5048-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Masaryk University
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2009
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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