Learning Semantic Annotations for Textual Cases

In this paper, we propose an approach to attach semantic an- notations to textual cases for their representation. To achieve this goal, a framework that combines machine learning algorithms, natural language processing, and domain knowledge to semi-automatically learn seman- tic annotations for a collection of documents from the field of predictive maintenance is presented.

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