TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Buschjäger, Sebastian
A1  - Pfahler, Lukas
A1  - Morik, Katharina
ED  - Bański, Piotr
ED  - Biber, Hanno
ED  - Breiteneder, Evelyn
ED  - Kupietz, Marc
ED  - Lüngen, Harald
ED  - Witt, Andreas
T1  - Discovering Subtle Word Relations in Large German Corpora
T2  - Proceedings of the 3rd Workshop on Challenges in the Management of Large Corpora (CMLC-3), Lancaster, 20 July 2015
N2  - 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.
KW  - Korpus <Linguistik>
KW  - Datenbanksystem
KW  - Annotation
KW  - Large corpora
KW  - National corpus
KW  - Corpus technology
KW  - Corpus management
KW  - Corpus annotation
KW  - Corpus linguistics
Y1  - 2015
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-38317
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-38317
SP  - 11
EP  - 14
PB  - Institut für Deutsche Sprache
CY  - Mannheim
ER  -