Restrictive Training (QuAART): Question Answering for the Rapid Development of New Knowledge Extraction Pipelines
This work hypothesizes that using models trained only on generic question answering data (e.g. SQuAD) is a good starting point for domain specific entity extraction, and explores whether the addition of small amounts of training data can help lift model performance.
Corey A. Harper, R. Daniel, Paul Groth
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