New word analogy corpus for exploring embeddings of Czech words
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43951334" target="_blank" >RIV/49777513:23520/18:43951334 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-75477-2_6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-75477-2_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-75477-2_6" target="_blank" >10.1007/978-3-319-75477-2_6</a>
Alternative languages
Result language
angličtina
Original language name
New word analogy corpus for exploring embeddings of Czech words
Original language description
The word embedding methods have been proven to be very useful in many tasks of NLP (Natural Language Processing). Much has been investigated about word embeddings of English words and phrases, but only little attention has been dedicated to other languages. Our goal in this paper is to explore the behavior of state-of-the-art word embedding methods on Czech, the language that is characterized by very rich morphology. We introduce new corpus for word analogy task that inspects syntactic, morphosyntactic and semantic properties of Czech words and phrases. We experiment with Word2Vec and GloVe algorithms and discuss the results on this corpus. The corpus is available for the research community.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Linguistics and Intelligent Text Processing, 17th International Conference, CICLing 2016, Konya, Turkey,
ISBN
978-3-319-75476-5
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
12
Pages from-to
103-114
Publisher name
Springer Verlag
Place of publication
Cham
Event location
Konya, Turkey
Event date
Apr 3, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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