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A Semantic Kernel for Predicate Argument Classification (2004)

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by Alessandro Moschitti , Cosmin Adrian Bejan
Venue:IN CONLL 2004
Citations:24 - 15 self
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BibTeX

@INPROCEEDINGS{Moschitti04asemantic,
    author = {Alessandro Moschitti and Cosmin Adrian Bejan},
    title = {A Semantic Kernel for Predicate Argument Classification},
    booktitle = {IN CONLL 2004},
    year = {2004},
    pages = {17--24},
    publisher = {}
}

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Abstract

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

Keyphrases

predicate argument classification    semantic kernel    machine learning    challenging task    semantic structure    semantic information    flat feature representation   

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