Semi-automatic Theme-Rheme Identification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00070352" target="_blank" >RIV/00216224:14330/13:00070352 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Semi-automatic Theme-Rheme Identification

Popis výsledku v původním jazyce

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 sentenceconstituents 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 andrhemes 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.

Název v anglickém jazyce

Semi-automatic Theme-Rheme Identification

Popis výsledku anglicky

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 sentenceconstituents 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 andrhemes 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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013

ISBN

9788026305200

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

39-48

Název nakladatele

Tribun EU

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

1. 1. 2013

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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