(Datenbank-Spektrum: Vol. 15, No. 1, 2015) Horbach, Andrea; Thater, Stefan; Steffen, Diana; Fischer, Peter M.; Witt, Andreas; Pinkal, Manfred
Natural language processing tools are mostly developed for and optimized on newspaper texts, and often show a substantial performance drop when applied to other types of texts such as Twitter feeds, chat data or Internet forum posts. We explore a range of easy-to-implement methods of adapting existing part-of-speech taggers to improve their performance on Internet texts. Our results show that these methods can improve tagger performance substantially.