Document embeddings learned on various types of n-grams for cross-topic authorship attribution
Crossref DOI link: https://doi.org/10.1007/s00607-018-0587-8
Published Online: 2018-01-25
Published Print: 2018-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Gómez-Adorno, Helena
Posadas-Durán, Juan-Pablo
Sidorov, Grigori
Pinto, David
Text and Data Mining valid from 2018-01-25
Article History
Received: 19 June 2017
Accepted: 6 January 2018
First Online: 25 January 2018