Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research
Denis Newman-Griffis, Jill Fain Lehman, Carolyn Rosé, Harry Hochheiser
Abstract
Natural language processing (NLP) research combines the study of universal principles, through basic science, with applied science targeting specific use cases and settings. However, the process of exchange between basic NLP and applications is often assumed to emerge naturally, resulting in many innovations going unapplied and many important questions left unstudied. We describe a new paradigm of Translational NLP, 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.- Anthology ID:
- 2021.naacl-main.325
- Volume:
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Month:
- June
- Year:
- 2021
- Address:
- Online
- Editors:
- Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tur, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 4125–4138
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2021.naacl-main.325/
- DOI:
- 10.18653/v1/2021.naacl-main.325
- Cite (ACL):
- Denis Newman-Griffis, Jill Fain Lehman, Carolyn Rosé, and Harry Hochheiser. 2021. Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 4125–4138, Online. Association for Computational Linguistics.
- Cite (Informal):
- Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research (Newman-Griffis et al., NAACL 2021)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2021.naacl-main.325.pdf