Paper: A Comparison of Windowless and Window-Based Computational Association Measures as Predictors of Syntagmatic Human Associations

ACL ID D09-1066
Title A Comparison of Windowless and Window-Based Computational Association Measures as Predictors of Syntagmatic Human Associations
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

Distance-based (windowless) word asso- cation measures have only very recently appeared in the NLP literature and their performance compared to existing win- dowed or frequency-based measures is largely unknown. We conduct a large- scale empirical comparison of a variety of distance-based and frequency-based mea- sures for the reproduction of syntagmatic human assocation norms. Overall, our results show an improvement in the pre- dictive power of windowless over win- dowed measures. This provides support to some of the previously published the- oretical advantages and makes window- less approaches a promising avenue to explore further. This study also serves as a first comparison of windowed meth- ods across numerous human association datasets. During this comparison we also introduce some...