Papers by Robert Sasseen

1 papers
Valet: Rule-Based Information Extraction for Rapid Deployment (2022.lrec-1)

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Challenge: a number of machine learning models can be trained to perform sentence-level information extraction at accuracies ranging from strong to adequate.
Approach: They propose a Python framework for rule-based information extraction that allows for complex matching.
Outcome: The proposed framework can be used to perform rule-based information extraction on examples.

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