Identifying semantic relations in a specialized corpus through distributional analysis of a cooccurrence tensor
Gabriel Bernier-Colborne · 2014
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 respects.