Using C5.0 and Exhaustive Search for Boosting Frame-Semantic Parsing Accuracy

LREC 2014 Guntis BarzdinsDidzis GoskoLaura RitumaPeteris Paikens

Frame-semantic parsing is a kind of automatic semantic role labeling performed according to the FrameNet paradigm. The paper reports a novel approach for boosting frame-semantic parsing accuracy through the use of the C5.0 decision tree classifier, a commercial version of the popular C4.5 decision tree classifier, and manual rule enhancement... (read more)

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