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Abstract

We developed a crop characteristic extraction framework. Starting from a custom SpaCy named entity recognition model, we added pre-trained word embeddings and a part-of-speech based entity expansion post-processing step. Then, we implemented an evaluation framework that functioned as a 5-fold cross validation wrapper for SpaCy custom training. Preliminary results showed improvement in the extraction framework after these additions.

Publication Date

2022

Keywords

natural language processing

Disciplines

Artificial Intelligence and Robotics | Engineering

Faculty Advisor/Mentor

Bridget McInnes

Is Part Of

VCU College of Engineering Summer REU Program

Rights

© The Author(s)

NLP@VCU: Crop Characteristic Extraction Framework

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