2 citations · 2 across the 4 of their papers we have counts for
5 papers
How to Estimate Whether You Have Found Several Needles in a Haystack: Measuring Calibration in Multi-Label Text Classification
Sophie Henning, Georg Hofmann, Alexander Schulte +2
A key factor in deciding whether to trust an automatic prediction is its confidence score, which should be calibrated to match the actual probability of the prediction being correc…
MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain
Timo Pierre Schrader, Teresa Bürkle, Sophie Henning +6
Scientific publications follow conventionalized rhetorical structures. Classifying the Argumentative Zone (AZ), e.g., identifying whether a sentence states a Motivation, a Result o…
MIST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text
Sophie Henning, Nicole Macher, Stefan Grünewald +1
Modal verbs (e.g., "can", "should", or "must") occur highly frequently in scientific articles. Decoding their function is not straightforward: they are often used for hedging, but…
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing
Sophie Henning, William Beluch, Alexander Fraser +1
Many natural language processing (NLP) tasks are naturally imbalanced, as some target categories occur much more frequently than others in the real world. In such scenarios, curren…
Generalized chart constraints for efficient PCFG and TAG parsing
Stefan Grünewald, Sophie Henning, Alexander Koller
Chart constraints, which specify at which string positions a constituent may begin or end, have been shown to speed up chart parsers for PCFGs. We generalize chart constraints to m…