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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)