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.
Download full text files
Additional Services
Statistics
| Author: | Ngoc Duyen Tanja TuORCiDGND, Markus Krug, Annelen BrunnerORCiDGND |
|---|---|
| URN: | urn:nbn:de:bsz:mh39-87708 |
| DOI: | https://doi.org/10.5281/zenodo.2600812 |
| ISBN: | 978-3-00-062166-6 |
| Parent Title (German): | DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts. 6. Tagung des Verbands Digital Humanities im deutschsprachigen Raum e.V., Frankfurt am Main, Mainz, 25.3.2019 – 29.3.2019 |
| Publisher: | Zenodo |
| 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 |
| DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
| Open Access?: | ja |
| Leibniz-Classification: | Sprache, Linguistik |
| Linguistics-Classification: | Computerlinguistik |
| Program areas: | Lexik |
| Licence (English): |  Creative Commons - Attribution-ShareAlike 4.0 International |