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Bazan, Marek; Migasiewicz, Aleksy; Marchwiany, Maciej E.
Procedia computer science, 2023, 2023-00-00, Volume: 225Journal Article
The paper presents a deep learning approach to task duration prediction on a small dataset of emails. This task turns out to be a difficult NLP problem, since it concerns timeline understanding. We propose a solution of the problem by transfer learning based on BERT-like transformer models for a set of emails in Polish language, combined with emails translated to Polish from the Enron dataset. The influence of augmentation with the Polish analogue to WordNet, as well as with the Word2Vec on the model quality are investigated.
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