A Comparison of Selectional Preference Models for Automatic Verb Classification
نویسندگان
چکیده
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.
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تاریخ انتشار 2014