Unsupervised Authorship Attribution for Medieval Latin Using Transformer-Based Embeddings
L De Langhe, O De Clercq, V Hoste - Proceedings of the Third …, 2024 - aclanthology.org
We explore the potential of employing transformer-based embeddings in an unsupervised
authorship attribution task for medieval Latin. The development of Large Language Models …
authorship attribution task for medieval Latin. The development of Large Language Models …
Cognitive cryptography using behavioral features from linguistic-biometric data
J Contreras - Cryptology ePrint Archive, 2023 - eprint.iacr.org
This study presents a proof-of-concept for a cognitive-based authentication system that uses
an individual's writing style as a unique identifier to grant access to a system. A machine …
an individual's writing style as a unique identifier to grant access to a system. A machine …
Data-Driven Music Theory: Curating and Investigating Large Corpora of Digitally Encoded Music Analyses
J Hentschel - 2024 - infoscience.epfl.ch
This dissertation on data-driven music theory is centered around curatorial practices
concerning the creation, publication, and evaluation of large, expert-annotated symbolic …
concerning the creation, publication, and evaluation of large, expert-annotated symbolic …