4 papers
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…
Negation-Instance Based Evaluation of End-to-End Negation Resolution
Elizaveta Sineva, Stefan Grünewald, Annemarie Friedrich +1
In this paper, we revisit the task of negation resolution, which includes the subtasks of cue detection (e.g. "not", "never") and scope resolution. In the context of previous share…
Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling
Stefan Grünewald, Prisca Piccirilli, Annemarie Friedrich
In this paper, we address the representation of coordinate constructions in Enhanced Universal Dependencies (UD), where relevant dependency links are propagated from conjunction he…