Search Results for author: Robert Sasseen

Found 2 papers, 0 papers with code

Valet: Rule-Based Information Extraction for Rapid Deployment

no code implementations LREC 2022 Dayne Freitag, John Cadigan, Robert Sasseen, Paul Kalmar

Arguing that rule-based information extraction is an important methodology early in the development cycle, we describe an experiment in which a VALET model is used to annotate examples for a machine learning extraction model.

valid

Accelerating Human Authorship of Information Extraction Rules

no code implementations PANDL (COLING) 2022 Dayne Freitag, John Cadigan, John Niekrasz, Robert Sasseen

We consider whether machine models can facilitate the human development of rule sets for information extraction.

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