A4 Refereed article in a conference publication
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model
Authors: Rastas Iiro, Ryan Yann, Tiihonen Iiro, Qaraei Mohammedreza, Repo Liina, Babbar Rohit, Mäkelä Eetu, Tolonen Mikko, Ginter Filip
Editors: Tahmasebi Nina, Montariol Syrielle, Kutuzov Andrey, Hengchen Simon, Dubossarsky Haim, Borin Lars
Conference name: Workshop on Computational Approaches to Historical Language Change
Publication year: 2022
Book title : Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change
Journal name in source: PROCEEDINGS OF THE 3RD INTERNATIONAL WORKSHOP ON COMPUTATIONAL APPROACHES TO HISTORICAL LANGUAGE CHANGE 2022 (LCHANGE 2022)
First page : 68
Last page: 77
Number of pages: 10
ISBN: 978-1-955917-42-1
Web address : https://aclanthology.org/2022.lchange-1.7.pdf
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/176709131
In this paper, we describe a BERT model trained on the Eighteenth Century Collections Online (ECCO) dataset of digitized documents. The ECCO dataset poses unique modelling challenges due to the presence of Optical Character Recognition (OCR) artifacts. We establish the performance of the BERT model on a publication year prediction task against linear baseline models and human judgement, finding the BERT model to be superior to both and able to date the works, on average, with less than 7 years absolute error. We also explore how language change over time affects the model by analyzing the features the model uses for publication year predictions as given by the Integrated Gradients model explanation method.
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