Paper: Disambiguating prepositional phrase attachment sites with sense information captured in contextualized distributional data

ACL ID P14-3010
Title Disambiguating prepositional phrase attachment sites with sense information captured in contextualized distributional data
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

This work presents a supervised preposi- tional phrase (PP) attachment disambigua- tion system that uses contextualized distri- butional information as the distance met- ric for a nearest-neighbor classifier. Con- textualized word vectors constructed from the GigaWord Corpus provide a method for implicit Word Sense Disambiguation (WSD), whose reliability helps this system outperform baselines and achieve compa- rable results to those of systems with full WSD modules. This suggests that targeted WSD methods are preferable to ignoring sense information and also to implement- ing WSD as an independent module in a pipeline.