ADAPTING A CONSTITUENCY PARSER TO USER-GENERATED CONTENT IN POLISH OPINION MINING
Agnieszka Pluwak, Wojciech Korczyński, Marek Kisiel‐Dorohinicki · Computer Science · 2016
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.