PALA, Karel and Ondřej SVOBODA. Semi-automatic Theme-Rheme Identification. In Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013. Brno: Tribun EU, 2013. p. 39-48. ISBN 978-80-263-0520-0.
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Basic information
Original name Semi-automatic Theme-Rheme Identification
Authors PALA, Karel (203 Czech Republic, guarantor, belonging to the institution) and Ondřej SVOBODA (203 Czech Republic, belonging to the institution).
Edition Brno, Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013, p. 39-48, 10 pp. 2013.
Publisher Tribun EU
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14330/13:00070352
Organization unit Faculty of Informatics
ISBN 978-80-263-0520-0
Keywords in English theme-rheme; Functional Sentence Perspective; topic-focus articulation;
Tags International impact, Reviewed
Changed by Changed by: Mgr. Lucia Kocincová, učo 374080. Changed: 2/12/2013 15:19.
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.
LM2010013, research and development projectName: LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat (Acronym: LINDAT-Clarin)
Investor: Ministry of Education, Youth and Sports of the CR
PrintDisplayed: 28/9/2022 04:16