Automatic Structuring of Written Texts

VEBER, Marek, Aleš HORÁK, Rostislav JULINEK and Pavel SMRŽ. Automatic Structuring of Written Texts. In Proceedings of 2nd International Conference on Text, Speech, and Dialogue (TSD 1999). Berlin: Springer-Verlag, 1999, p. 101-104. ISBN 3-540-66494-7.

Basic information

Original name

Automatic Structuring of Written Texts

Name in Czech

Automatické strukturování psaných textů

Authors

VEBER, Marek (203 Czech Republic), Aleš HORÁK (203 Czech Republic, guarantor), Rostislav JULINEK (203 Czech Republic) and Pavel SMRŽ (203 Czech Republic)

Edition

Berlin, Proceedings of 2nd International Conference on Text, Speech, and Dialogue (TSD 1999), p. 101-104, 4 pp. 1999

Publisher

Springer-Verlag

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 0.872

RIV identification code

RIV/00216224:14330/99:00001590

Organization unit

Faculty of Informatics

ISBN

3-540-66494-7

ISSN

UT WoS

000089259200018

Keywords (in Czech)

struktura textu

Keywords in English

text structure

Tags

text structure

Tags

International impact, Reviewed

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Abstract

V originále

This paper deals with automatic structuring and sentence boundary labelling in natural language texts. We describe the implemented structure tagging algorithm and heuristic rules that are used for automatic or semiautomatic labelling. Inside the detected sentence the algorithm performs a decomposition to clauses and then marks the parts of text which do not form a sentence, i.e. headings, signatures, tables and other structured data. We also pay attention to the processing of matched symbols in the text, especially to the analysis of direct speech notation.

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Links

VS97028, research and development project

Name: Laboratoř zpracování přirozeného jazyka (s aplikacemi pro podporu výuky zrakově postižených) Investor: Ministry of Education, Youth and Sports of the CR, Natural Language Processing Laboratory (with applications supporting education of people with limited sight)