Automatic identification of English verb particle constructions using linguistic features

Authors:
Su Nam Kim;Timothy Baldwin
Affiliations:
University of Melbourne, Victoria, Australia;University of Melbourne, Victoria, Australia
Venue:
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
Year:
2006

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Abstract

This paper presents a method for identifying token instances of verb particle constructions (VPCs) automatically, based on the output of the RASP parser. The proposed method pools together instances of VPCs and verb-PPs from the parser output and uses the sentential context of each such instance to differentiate VPCs from verb-PPs. We show our technique to perform at an F-score of 97.4% at identifying VPCs in Wall Street Journal and Brown Corpus data taken from the Penn Tree-bank.