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#knowledge-base-construction #machine-learning
The first phase is candidate generation and feature extrac- tion. In this phase, pre-processing NLP tools (entity tagging, for instance) are applied, and candidate features are extracted from the text, based on user defined rules. Some frameworks that rely on a generative model of text (such as Alexandria) may include a pre-processing stage but do not have a feature extraction phase.
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