Paper: Supervised Ranking of Co-occurrence Profiles for Acquisition of Continuous Lexical Attributes

ACL ID C14-1205
Title Supervised Ranking of Co-occurrence Profiles for Acquisition of Continuous Lexical Attributes
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Certain common lexical attributes such as polarity and formality are continuous, creating chal- lenges for accurate lexicon creation. Here we present a general method for automatically placing words on these spectra, using co-occurrence profiles, counts of co-occurring words within a large corpus, as a feature vector to a supervised ranking algorithm. With regards to both polarity and formality, we show this method consistently outperforms commonly-used alternatives, both with respect to the intrinsic quality of the lexicon and also when these newly-built lexicons are used in downstream tasks.