BECREATIVE: Annotation of German Named Entities
- This paper presents the BECREATIVE Named Entity Recognition system and its participation at the GermEval 2014 Named Entity Recognition Shared Task (Benikova et al., 2014a). BECREATIVE uses a hybrid approach of two commonly used procedural methods, namely list-based lookups and machine learning (Naive Bayes Classification), which centers around the classifier. BECREATIVE currently reaches an F-score of 37.34 on the strict evaluation setting applied on the development set provided by GermEval.
| Author: | Fabian Dreer, Eduard Saller, Patrick Elsässer, Ulrike Handelshauser, Desislava Zhekova |
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| URN: | https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-3065 |
| Parent Title (English): | Workshop proceedings of the 12th edition of the KONVENS conference |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2014/11/25 |
| Release Date: | 2014/11/25 |
| Tag: | NER; Named entity recognition |
| GND Keyword: | Computerlinguistik |
| First Page: | 134 |
| Last Page: | 138 |
| PPN: | Link zum Katalog |
| Institutes: | Fachbereich III / Informationswissenschaft und Sprachtechnologie |
| DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
| Collections: | KONVENS 2014 / Workshop Proceedings of the 12th KONVENS 2014 |
| Licence (German): |  Creative Commons - Namensnennung 3.0 |
