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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F14%3A43922821%21RIV15-MSM-23520___
rdf:type
skos:Concept n19:Vysledek
dcterms:description
In this paper, we study the effects of various lemmatization and stemming approaches on the named entity recognition (NER) task for Czech, a highly inflectional language. Lemmatizers are seen as a necessary component for Czech NER systems and they were used in all published papers about Czech NER so far. Thus, it has an utmost importance to explore their benefits, limits and differences between simple and complex methods. Our experiments are evaluated on the standard Czech Named Entity Corpus 1.1 as well as the newly created 2.0 version. In this paper, we study the effects of various lemmatization and stemming approaches on the named entity recognition (NER) task for Czech, a highly inflectional language. Lemmatizers are seen as a necessary component for Czech NER systems and they were used in all published papers about Czech NER so far. Thus, it has an utmost importance to explore their benefits, limits and differences between simple and complex methods. Our experiments are evaluated on the standard Czech Named Entity Corpus 1.1 as well as the newly created 2.0 version.
dcterms:title
Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches
skos:prefLabel
Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches
skos:notation
RIV/49777513:23520/14:43922821!RIV15-MSM-23520___
n3:aktivita
n8:S
n3:aktivity
S
n3:dodaniDat
n10:2015
n3:domaciTvurceVysledku
n13:3550540 n13:9519416
n3:druhVysledku
n14:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
31473
n3:idVysledku
RIV/49777513:23520/14:43922821
n3:jazykVysledku
n12:eng
n3:klicovaSlova
stemming; lemmatization; Named entity recognition
n3:klicoveSlovo
n5:lemmatization n5:stemming n5:Named%20entity%20recognition
n3:kontrolniKodProRIV
[B0216E19E7FF]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Heidelberg
n3:nazevZdroje
17th International Conference, TSD 2014
n3:obor
n15:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n10:2014
n3:tvurceVysledku
Konopík, Miloslav Konkol, Michal
n3:typAkce
n4:WRD
n3:zahajeniAkce
2014-09-08+02:00
s:issn
0302-9743
s:numberOfPages
8
n9:doi
10.1007/978-3-319-10816-2_33
n17:hasPublisher
Springer-Verlag
n21:isbn
978-3-319-10815-5
n11:organizacniJednotka
23520