Litcius/Paper detail

Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research.

Denis Newman-Griffis, Jill Fain Lehman, Carolyn Penstein Rosé, Harry Hochheiser

2021PubMed19 citations

Abstract

, which aims to structure and facilitate the processes by which basic and applied NLP research inform one another. Translational NLP thus presents a third research paradigm, focused on understanding the challenges posed by application needs and how these challenges can drive innovation in basic science and technology design. We show that many significant advances in NLP research have emerged from the intersection of basic principles with application needs, and present a conceptual framework outlining the stakeholders and key questions in translational research. Our framework provides a roadmap for developing Translational NLP as a dedicated research area, and identifies general translational principles to facilitate exchange between basic and applied research.

Topics & Concepts

Computer scienceArtificial intelligenceIntersection (aeronautics)Process (computing)Translational researchData scienceBasic researchMachine translationNatural language processingEngineeringProgramming languagePathologyMedicineLibrary scienceAerospace engineeringBiomedical Text Mining and OntologiesTopic ModelingExplainable Artificial Intelligence (XAI)