Identifying semantic relations in a specialized corpus through distributional analysis of a cooccurrence tensor
نویسنده
چکیده
We describe a method of encoding cooccurrence information in a three-way tensor from which HAL-style word space models can be derived. We use these models to identify semantic relations in a specialized corpus. Results suggest that the tensorbased methods we propose are more robust than the basic HAL model in some
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