A Comparison of Selectional Preference Models for Automatic Verb Classification
Will Roberts, Markus Egg · 2014
We present a comparison of different selectional preference models and evaluate them on an automatic verb classification task in German.We find that all the models we compare are effective for verb clustering; the best-performing model uses syntactic information to induce nouns classes from unlabelled data in an unsupervised manner.A very simple model based on lexical preferences is also found to perform well.