SMAuC - The Scientific Multi-Authorship Corpus

The rapidly growing volume of scientific publications offers an interesting challenge for research on methods for analyzing the authorship of documents with one or more authors. However, most existing datasets lack scientific documents or the necessary metadata for constructing new experiments and t...

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Bibliographic Details
Published in:IEEE/ACM Joint Conference on Digital Libraries (Online) pp. 25 - 29
Main Authors: Bevendorff, Janek, Sauer, Philipp, Gienapp, Lukas, Kircheis, Wolfgang, Korner, Erik, Stein, Benno, Potthast, Martin
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2023
Subjects:
Annotations
Authorship Analysis
Humanities
Libraries
Multi-Authorship
Writing
ISSN:2575-8152
Online Access:Get full text
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Summary:The rapidly growing volume of scientific publications offers an interesting challenge for research on methods for analyzing the authorship of documents with one or more authors. However, most existing datasets lack scientific documents or the necessary metadata for constructing new experiments and test cases. We introduce SMAuC, a comprehensive, metadata-rich corpus tailored to scientific authorship analysis. Comprising over 3 million publications across various disciplines from over 5 million authors, SMAuC is the largest openly accessible corpus for this purpose. It encompasses scientific texts from humanities and natural sciences, accompanied by extensive, curated metadata, including unambiguous author IDs. SMAuC aims to significantly advance the domain of authorship analysis in scientific texts.
ISSN:2575-8152
DOI:10.1109/JCDL57899.2023.00013