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@inproceedings{1131906,
author = {Pala, Karel and Svoboda, Ondřej},
address = {Brno},
booktitle = {Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013},
keywords = {theme-rheme; Functional Sentence Perspective; topic-focus articulation;},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-0520-0},
pages = {39-48},
publisher = {Tribun EU},
title = {Semi-automatic Theme-Rheme Identification},
year = {2013}
}
TY - JOUR
ID - 1131906
AU - Pala, Karel - Svoboda, Ondřej
PY - 2013
TI - Semi-automatic Theme-Rheme Identification
PB - Tribun EU
CY - Brno
SN - 9788026305200
KW - theme-rheme
KW - Functional Sentence Perspective
KW - topic-focus articulation;
N2 - 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.
ER -
PALA, Karel a Ondřej SVOBODA. Semi-automatic Theme-Rheme Identification. In \textit{Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013}. Brno: Tribun EU, 2013, s.~39-48. ISBN~978-80-263-0520-0.
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