Paper: Extracting The Unextractable: A Case Study On Verb-Particles

ACL ID W02-2001
Title Extracting The Unextractable: A Case Study On Verb-Particles
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2002
Authors

This paper proposes a series of techniques for ex- tracting English verbparticle constructions from raw text corpora. We initially propose three basic methods, based on tagger output, chunker output and a chunk grammar, respectively, with the chunk grammar method optionally combining with an at- tachment resolution module to determine the syn- tactic structure of verbpreposition pairs in ambigu- ous constructs. We then combine the three methods together into a single classifler, and add in a number of extra lexical and frequentistic features, producing a flnal F-score of 0.865 over the WSJ.