A Semantic Kernel for Predicate Argument Classification
Alessandro Moschitti, Cosmin Adrian Bejan · 2004
Automatically deriving semantic structures from text is a challenging task for machine learning. The flat feature representations, usually used in learning models, can only partially describe structured data. This makes difficult the processing of the semantic information that is embedded into parse-trees. In this paper a