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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F09%3A00029755%21RIV10-GA0-14330___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
In this paper semantic classes of Czech verbs are presented as they are obtained from the lexical database VerbaLex that has recently been built at the NLP Centre FI MU. At the moment we have in VerbaLex 82 semantic classes covering 10,482 Czech verb lemmata and 19,556 verb valency frames. We discuss the criteria for establishing semantic classes: the most important one is grouping verbs according to their senses. The second one exploits relations between semantic classes of Czech verbs and semantic roles and subcategorization features as they are used in VerbaLex valency frames. We also touch on the issue of the ontology that could be used to describe the meanings of the verbs in the semantic classes. The semantic classification of Czech verbs can be extended for other languages via Interlingual Index (ILI) existing in WordNets and it can be used in the various applications in the NLP area (machine translation, syntactic analysis, semantic search, information extraction and others). In this paper semantic classes of Czech verbs are presented as they are obtained from the lexical database VerbaLex that has recently been built at the NLP Centre FI MU. At the moment we have in VerbaLex 82 semantic classes covering 10,482 Czech verb lemmata and 19,556 verb valency frames. We discuss the criteria for establishing semantic classes: the most important one is grouping verbs according to their senses. The second one exploits relations between semantic classes of Czech verbs and semantic roles and subcategorization features as they are used in VerbaLex valency frames. We also touch on the issue of the ontology that could be used to describe the meanings of the verbs in the semantic classes. The semantic classification of Czech verbs can be extended for other languages via Interlingual Index (ILI) existing in WordNets and it can be used in the various applications in the NLP area (machine translation, syntactic analysis, semantic search, information extraction and others).
dcterms:title
Semantic Classes of Czech Verbs Semantic Classes of Czech Verbs
skos:prefLabel
Semantic Classes of Czech Verbs Semantic Classes of Czech Verbs
skos:notation
RIV/00216224:14330/09:00029755!RIV10-GA0-14330___
n3:aktivita
n19:S n19:P
n3:aktivity
P(GV405/96/K214), S
n3:dodaniDat
n12:2010
n3:domaciTvurceVysledku
Khokhlová, Maria n14:8951012 n14:6076939
n3:druhVysledku
n15:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
340720
n3:idVysledku
RIV/00216224:14330/09:00029755
n3:jazykVysledku
n16:eng
n3:klicovaSlova
semantic classes of Czech verbs - lexical database VerbaLex - valency frames
n3:klicoveSlovo
n6:semantic%20classes%20of%20Czech%20verbs
n3:kontrolniKodProRIV
[66157AF4B983]
n3:mistoKonaniAkce
Krakow
n3:mistoVydani
Warszava
n3:nazevZdroje
Proceedings of the Conference on Intelligent Information Systems 2009
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n10:GV405%2F96%2FK214
n3:rokUplatneniVysledku
n12:2009
n3:tvurceVysledku
Hlaváčková, Dana Pala, Karel Khokhlová, Maria
n3:typAkce
n9:EUR
n3:zahajeniAkce
2009-01-01+01:00
s:numberOfPages
10
n17:hasPublisher
IPI PAN Warszava
n21:isbn
978-83-60434-59-8
n5:organizacniJednotka
14330