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ICDM
2003
IEEE

Semantic Role Parsing: Adding Semantic Structure to Unstructured Text

13 years 10 months ago
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
There is a ever-growing need to add structure in the form of semantic markup to the huge amounts of unstructured text data now available. We present the technique of shallow semantic parsing, the process of assigning a simple WHO did WHAT to WHOM, etc., structure to sentences in text, as a useful tool in achieving this goal. We formulate the semantic parsing problem as a classification problem using Support Vector Machines. Using a hand-labeled training set and a set of features drawn from earlier work together with some feature enhancements, we demonstrate a system that performs better than all other published results on shallow semantic parsing.
Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ICDM
Authors Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James H. Martin, Daniel Jurafsky
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