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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F13%3A00070352%21RIV14-MSM-14330___
rdf:type
n4:Vysledek skos:Concept
dcterms:description
In this paper we start from the theory of the Functional Sentence Perspective developed primarily by Firbas [1], Svoboda [2] and also Sgall, Hajicová [3] and make an attempt to formulate a procedure allowing to semi-automatically recognize which sentence constituents carry information that is contextually dependent and thus known to an adressee (theme), constituents containing new information (rheme), and also constituents bearing non-thematic and non-rhematic information (transition). Having themes and rhemes recognized as successfully as possible we also hope to investigate thematic progression (thematic line) in texts in the future. The core of the procedure and its experimental implementation for Czech (using the bushbank corpus CBB.Blog [4] as a data source) are described in the paper. Since the task is really complicated we only offer basic evaluation, which, in our view, shows that the task is feasible. In this paper we start from the theory of the Functional Sentence Perspective developed primarily by Firbas [1], Svoboda [2] and also Sgall, Hajicová [3] and make an attempt to formulate a procedure allowing to semi-automatically recognize which sentence constituents carry information that is contextually dependent and thus known to an adressee (theme), constituents containing new information (rheme), and also constituents bearing non-thematic and non-rhematic information (transition). Having themes and rhemes recognized as successfully as possible we also hope to investigate thematic progression (thematic line) in texts in the future. The core of the procedure and its experimental implementation for Czech (using the bushbank corpus CBB.Blog [4] as a data source) are described in the paper. Since the task is really complicated we only offer basic evaluation, which, in our view, shows that the task is feasible.
dcterms:title
Semi-automatic Theme-Rheme Identification Semi-automatic Theme-Rheme Identification
skos:prefLabel
Semi-automatic Theme-Rheme Identification Semi-automatic Theme-Rheme Identification
skos:notation
RIV/00216224:14330/13:00070352!RIV14-MSM-14330___
n4:predkladatel
n8:orjk%3A14330
n6:aktivita
n7:S n7:P
n6:aktivity
P(LM2010013), S
n6:dodaniDat
n9:2014
n6:domaciTvurceVysledku
n10:2565749 n10:6076939
n6:druhVysledku
n17:D
n6:duvernostUdaju
n22:S
n6:entitaPredkladatele
n19:predkladatel
n6:idSjednocenehoVysledku
104608
n6:idVysledku
RIV/00216224:14330/13:00070352
n6:jazykVysledku
n14:eng
n6:klicovaSlova
theme-rheme; Functional Sentence Perspective; topic-focus articulation
n6:klicoveSlovo
n11:topic-focus%20articulation n11:theme-rheme n11:Functional%20Sentence%20Perspective
n6:kontrolniKodProRIV
[B71A5BE6C3D2]
n6:mistoKonaniAkce
Brno
n6:mistoVydani
Brno
n6:nazevZdroje
Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013
n6:obor
n21:IN
n6:pocetDomacichTvurcuVysledku
2
n6:pocetTvurcuVysledku
2
n6:projekt
n18:LM2010013
n6:rokUplatneniVysledku
n9:2013
n6:tvurceVysledku
Svoboda, Ondřej Pala, Karel
n6:typAkce
n16:CST
n6:zahajeniAkce
2013-01-01+01:00
s:numberOfPages
10
n15:hasPublisher
Tribun EU
n12:isbn
9788026305200
n13:organizacniJednotka
14330