Anette Frank
Anette Frank studies how language systems can represent meaning and context. Her work connects neural learning with linguistic structure and knowledge representation. Her research covers reading comprehension, common-sense reasoning, and argument analysis. These tasks require models to use meaning beyond isolated words. Frank combines neural machine learning with linguistic modelling and knowledge representation. Her group’s themes include semantic roles, reference, and relations between parts of discourse.
- Now at
- Heidelberg University
- Works
- 172
- Citations
- 3,135
- h-index
- 28
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2021
Research recognition
ACL elected Anette Frank as a Fellow in 2021.
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2024
Studying explanations and graphs
By June 2024, Frank and her coauthors had shared ACL papers on measuring natural-language explanation faithfulness and on graph language models.
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As of October 2026
Understanding discourse
Her research covers reading comprehension, common-sense reasoning, and argument analysis. These tasks require models to use meaning beyond isolated words.
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As of October 2026
Linking learning and linguistic models
Frank combines neural machine learning with linguistic modelling and knowledge representation. Her group’s themes include semantic roles, reference, and relations between parts of discourse.
Sources and credits
Photo: www.cl.uni-heidelberg.de; Anette Frank profile photograph; creator not stated. License: Not stated by source. Source: cl.uni-heidelberg.de. Cropped to a square and resized. Ask us to remove or replace this photo.