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Automatic recognition of direct speech without quotation marks. A rule-based approach

  • This paper describes a rule-based approach to detect direct speech without the help of any quotation markers. As datasets fictional and non-fictional texts were used. Our evaluation shows that the results appear stable throughout different datasets in the fictional domain and are comparable to the results achieved in related work.

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Metadaten
Author:Ngoc Duyen Tanja Tu, Markus Krug, Annelen BrunnerGND
URN:urn:nbn:de:bsz:mh39-87708
DOI:https://doi.org/10.5281/zenodo.2600812
ISBN:978-3-00-062166-6
Parent Title (German):Digital Humanities: multimedial & multimodal. 6. Tagung des Verbands Digital Humanities im deutschsprachigen Raum e.V. (DHd 2019), Frankfurt am Main, Mainz, 25.3.2019 - 29.3.2019. Konferenzabstracts
Place of publication:Frankfurt am Main
Editor:Patrick Sahle
Document Type:Conference Proceeding
Language:English
Year of first Publication:2019
Date of Publication (online):2019/04/23
Publicationstate:Zweitveröffentlichung
Reviewstate:Peer-Review
GND Keyword:Algorithmus; Computerlinguistik; Direkte Rede; Natürliche Sprache; Text Mining
First Page:87
Last Page:89
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Licence (English):License LogoCreative Commons - Attribution-ShareAlike 4.0 International