Refine
Year of publication
- 2015 (1)
Document Type
Language
- English (1)
Has Fulltext
- yes (1)
Is part of the Bibliography
- no (1) (remove)
Keywords
- Annotation (1)
- Corpus annotation (1)
- Corpus linguistics (1)
- Corpus management (1)
- Corpus technology (1)
- Datenbanksystem (1)
- Korpus <Linguistik> (1)
- Large corpora (1)
- National corpus (1)
Publicationstate
Reviewstate
- Peer-Review (1)
Publisher
With an increasing amount of text data available it is possible to automatically extract a variety of information about language. One way to obtain knowledge about subtle relations and analogies between words is to observe words which are used in the same context. Recently, Mikolov et al. proposed a method to efficiently compute Euclidean word representations which seem to capture subtle relations and analogies between words in the English language. We demonstrate that this method also captures analogies in the German language. Furthermore, we show that we can transfer information extracted from large non-annotated corpora into small annotated corpora, which are then, in turn, used for training NLP systems.