Horbach, AndreaThater, StefanSteffen, DianaFischer, Peter M.Witt, AndreasPinkal, Manfred2018-01-102018-01-1020152015https://dl.gi.de/handle/20.500.12116/11731Natural 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.Computer-mediated communicationNatural language processingPart-of-speech taggingText/Journal Article1610-1995