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Biomedical Data-to-Text Generation via Fine-Tuning Transformers

2021-09-03 13:42:30
Ruslan Yermakov, Nicholas Drago, Angelo Ziletti

Abstract

Data-to-text (D2T) generation in the biomedical domain is a promising - yet mostly unexplored - field of research. Here, we apply neural models for D2T generation to a real-world dataset consisting of package leaflets of European medicines. We show that fine-tuned transformers are able to generate realistic, multisentence text from data in the biomedical domain, yet have important limitations. We also release a new dataset (BioLeaflets) for benchmarking D2T generation models in the biomedical domain.

Abstract (translated)

URL

https://arxiv.org/abs/2109.01518

PDF

https://arxiv.org/pdf/2109.01518.pdf


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