TY - GEN
T1 - ICDAR 2025 Competition on Automatic Classification of Literary Epochs
AU - Rabaev, Irina
AU - Litvak, Marina
AU - Bass, Roza
AU - Campos, Ricardo
AU - Jorge, Alípio M.
AU - Jatowt, Adam
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026/1/1
Y1 - 2026/1/1
N2 - This report describes the ICDAR 2025 Competition on Automatic Classification of Literary Epochs (ICDAR 2025 CoLiE), which consisted of two tasks focused on automatic prediction of the time in which a book was written (date of first publication). Both tasks comprised two sub-tasks, where a related fine-grained classification was addressed. Task 1 consisted of the identification of literary epochs, such as Romanticism or Modernism (sub-task 1.1), and a more precise classification of the period within the epoch (sub-task 1.2). Task 2 addressed the chronological identification of century (sub-task 2.1) or decade (sub-task 2.2). The compiled dataset and the reported findings are valuable to the scientific community and contribute to advancing research in the automatic dating of texts and its applications in digital humanities and temporal text analysis.
AB - This report describes the ICDAR 2025 Competition on Automatic Classification of Literary Epochs (ICDAR 2025 CoLiE), which consisted of two tasks focused on automatic prediction of the time in which a book was written (date of first publication). Both tasks comprised two sub-tasks, where a related fine-grained classification was addressed. Task 1 consisted of the identification of literary epochs, such as Romanticism or Modernism (sub-task 1.1), and a more precise classification of the period within the epoch (sub-task 1.2). Task 2 addressed the chronological identification of century (sub-task 2.1) or decade (sub-task 2.2). The compiled dataset and the reported findings are valuable to the scientific community and contribute to advancing research in the automatic dating of texts and its applications in digital humanities and temporal text analysis.
KW - Automatic text dating
KW - Literary time period classification
KW - Temporal text analysis
UR - https://www.scopus.com/pages/publications/105016901784
U2 - 10.1007/978-3-032-04630-7_31
DO - 10.1007/978-3-032-04630-7_31
M3 - Conference contribution
AN - SCOPUS:105016901784
SN - 9783032046291
T3 - Lecture Notes in Computer Science
SP - 537
EP - 552
BT - Document Analysis and Recognition – ICDAR 2025 - 19th International Conference, Proceedings
A2 - Yin, Xu-Cheng
A2 - Karatzas, Dimosthenis
A2 - Lopresti, Daniel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 19th International Conference on Document Analysis and Recognition, ICDAR 2025
Y2 - 16 September 2025 through 21 September 2025
ER -