Alexander L. Hayes: “Relation Extraction for Relational Learning”

My work is mostly centered on relational approaches to natural language processing. Approaches such as word2vec have increased interest in the context that words appear in beyond the bag-of-words model. The approach we focus on models the relations between words, document structure, and word attributes like part-of-speech; which can provide powerful insights for classification tasks.

This work has been applied to SEC Form S-1 Documents and known drug side effect information from the openFDA database. Work for the latter can be found on GitHub.

I am involved in the Natural Language Processing project.