Integrating Deep Learning with Logic Fusion for Information Extraction

Understand

Information extraction (IE) aims to produce structured information from an input text, e.g., Named Entity Recognition and Relation Extraction.

• Various attempts have been proposed for IE via feature engineering or deep learning.
• However, most of them fail to associate the complex relationships inherent in the task itself, which has proven to be especially crucial.
• For example, the relation between 2 entities is highly dependent on their entity types.