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

Discourse-Wide Extraction of Assay Frames from the Biological Literature

no code implementations • RANLP 2017 • Dayne Freitag, Paul Kalmar, Eric Yeh

We consider the problem of populating multi-part knowledge frames from textual information distributed over multiple sentences in a document.

Reading Comprehension Relation Extraction +1