Deep lexical acquisition of verb-particle constructions

This paper proposes a range of techniques for extracting English verb-particle constructions from raw text corpora, complete with valence information. We propose four basic methods, based on the output of a POS tagger, chunker, chunk grammar and dependency parser, respectively. We then present a combined classifier which we show to consolidate the strengths of the component methods.