Jürgen Jost


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BERT in Plutarch’s Shadows
Ivan Yamshchikov | Alexey Tikhonov | Yorgos Pantis | Charlotte Schubert | Jürgen Jost
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

The extensive surviving corpus of the ancient scholar Plutarch of Chaeronea (ca. 45-120 CE) also contains several texts which, according to current scholarly opinion, did not originate with him and are therefore attributed to an anonymous author Pseudo-Plutarch. These include, in particular, the work Placita Philosophorum (Quotations and Opinions of the Ancient Philosophers), which is extremely important for the history of ancient philosophy. Little is known about the identity of that anonymous author and its relation to other authors from the same period. This paper presents a BERT language model for Ancient Greek. The model discovers previously unknown statistical properties relevant to these literary, philosophical, and historical problems and can shed new light on this authorship question. In particular, the Placita Philosophorum, together with one of the other Pseudo-Plutarch texts, shows similarities with the texts written by authors from an Alexandrian context (2nd/3rd century CE).


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Decomposing Textual Information For Style Transfer
Ivan P. Yamshchikov | Viacheslav Shibaev | Aleksander Nagaev | Jürgen Jost | Alexey Tikhonov
Proceedings of the 3rd Workshop on Neural Generation and Translation

This paper focuses on latent representations that could effectively decompose different aspects of textual information. Using a framework of style transfer for texts, we propose several empirical methods to assess information decomposition quality. We validate these methods with several state-of-the-art textual style transfer methods. Higher quality of information decomposition corresponds to higher performance in terms of bilingual evaluation understudy (BLEU) between output and human-written reformulations.