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Adapting a constituency parser to user-generated content in polish opinion mining

Pluwak A., Korczynski W., Kisiel-Dorohinicki M.

Computer Science

2016

Vol. 17 (1)

23--44

The paper focuses on the adjustment of NLP tools for Polish; e.g., morphological analyzers and parsers, to user-generated content (UGC). The authors discuss two rule-based techniques applied to improve their efficiency: pre-processing (text normalization) and parser adaptation (modified segmentation and parsing rules). A new solution to handle OOVs based on inflectional translation is also offered.