Dependency Parsing for Chinese Social Media Text
Sammanfattning: In this thesis, we investigate dependency parsing for Chinese social media text. In order to investigate our research questions, we conduct several parsing experiments on standard Chinese and social media data both with UUParser and UDPipe, to assess parser performance on social media data, and to improve this performance over baselines. The main contributions of this study are as follows: first, the annotation of data sets for Chinese social media data with or without manual annotation; second, the dependency parsing of social media data can be improved by providing more relevant training data. In addition, difference between domains of training data and test data can hurt performance for both parsers.
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