Empirical study on production-scale clinical NLP shows direct learning from verifier rejections fails due to sparse data while fixed ontology and evidence-support filters succeed, with selectivity determined by matching verifier evidence.
Journal of Artificial Intelligence Research 7, 83–124
2 Pith papers cite this work. Polarity classification is still indexing.
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Agent-based simulations show intrapersonal and dominant function diversity can boost or hinder performance based on context, requiring an aggregate expertise measure too.
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Role of diversity in team performance: the case of missing expertise, an agent based simulation
Agent-based simulations show intrapersonal and dominant function diversity can boost or hinder performance based on context, requiring an aggregate expertise measure too.