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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F10%3A00503929%21RIV11-MSM-23520___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
In this paper we present a prototype implementation of the question answering system for one of the inflektivních languages -- Czech. The presented open domain system is especially effective in answering factual wh-questions about people, dates, names and locations. The answer is constructed on-the-fly from data gathered from the Internet, public ontologies, knowledge of the Czech language, and extensible template system. The system is capable of semiautomatic learning of new templates as well as both statistical and semantic processing of Internet content. In this paper we present a prototype implementation of the question answering system for one of the inflektivních languages -- Czech. The presented open domain system is especially effective in answering factual wh-questions about people, dates, names and locations. The answer is constructed on-the-fly from data gathered from the Internet, public ontologies, knowledge of the Czech language, and extensible template system. The system is capable of semiautomatic learning of new templates as well as both statistical and semantic processing of Internet content.
dcterms:title
Question Answering for Not Yet Semantic Web Question Answering for Not Yet Semantic Web
skos:prefLabel
Question Answering for Not Yet Semantic Web Question Answering for Not Yet Semantic Web
skos:notation
RIV/49777513:23520/10:00503929!RIV11-MSM-23520___
n3:aktivita
n10:P
n3:aktivity
P(2C06009)
n3:dodaniDat
n16:2011
n3:domaciTvurceVysledku
n11:3550540 n11:6567622
n3:druhVysledku
n12:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
283686
n3:idVysledku
RIV/49777513:23520/10:00503929
n3:jazykVysledku
n14:eng
n3:klicovaSlova
question answering; information extraction; machine learning; NLP; morphology; semantic compatibility
n3:klicoveSlovo
n9:morphology n9:NLP n9:question%20answering n9:semantic%20compatibility n9:machine%20learning n9:information%20extraction
n3:kontrolniKodProRIV
[1C7CDC620755]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Berlin
n3:nazevZdroje
TSD 2010
n3:obor
n6:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n19:2C06009
n3:rokUplatneniVysledku
n16:2010
n3:tvurceVysledku
Rohlík, Ondřej Konopík, Miloslav
n3:typAkce
n15:WRD
n3:zahajeniAkce
2010-01-01+01:00
s:numberOfPages
8
n4:hasPublisher
Springer-Verlag
n18:isbn
978-3-642-15759-2
n13:organizacniJednotka
23520