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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE/ACM Joint Conference on Digital Libraries (Online) s. 25 - 29
Hlavní autoři: Bevendorff, Janek, Sauer, Philipp, Gienapp, Lukas, Kircheis, Wolfgang, Korner, Erik, Stein, Benno, Potthast, Martin
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2023
Témata:
Annotations
Authorship Analysis
Humanities
Libraries
Multi-Authorship
Writing
ISSN:2575-8152
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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