A span-based classifier and ranker extracts nested domain terms from raw text, reaching an F1 of 0.78 on GENIA without requiring manually engineered features.
Association for Compu- tational Linguistics, 2004
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Feature-Less End-to-End Nested Term Extraction
A span-based classifier and ranker extracts nested domain terms from raw text, reaching an F1 of 0.78 on GENIA without requiring manually engineered features.