FrameNet at 25: Results and Applications
Abstract This paper, a follow-up to Boas/Ruppenhofer/Baker (2024), reports on the results and applications of the FrameNet database. It spells out how FrameNet data have been used in linguistic theory, computational linguistics, multilingual lexicography, and foreign language teaching and learning. The paper also provides more information about the organization of the FrameNet project, inlcuding organizational, financial, and personal challenges.
Authors
- Collin F. Baker
- Josef Ruppenhofer (ORCID: https://orcid.org/0000-0002-8662-7618)
- Hans Christian Boas
Institutions
- FernUniversität in Hagen (DE)
- The University of Texas at Austin (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- International Journal of Lexicography
- Published
- 2025-04-27
- DOI
- https://doi.org/10.1093/ijl/ecaf011
- Citations
- 1
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.48