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cs.CL2023
MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain
Timo Pierre Schrader, Matteo Finco, Stefan Grünewald +2
Keeping track of all relevant recent publications and experimental results for a research area is a challenging task. Prior work has demonstrated the efficacy of information extrac…
cs.CL2023
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…