Abstractive summarization of hospitalisation histories with transformer networks

• URL: http://arxiv.org/abs/2204.02208v1
• Date: Tue, 5 Apr 2022 13:38:39 GMT
• Title: Abstractive summarization of hospitalisation histories with transformer networks
• Authors: Alexander Yalunin, Dmitriy Umerenkov, Vladimir Kokh
• Abstract summary: We present a novel approach to abstractive summarization of patient hospitalisation histories. We applied an encoder-decoder framework with Longformer neural network as an encoder and BERT as a decoder.
• Score: 68.96380145211093
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this paper we present a novel approach to abstractive summarization of patient hospitalisation histories. We applied an encoder-decoder framework with Longformer neural network as an encoder and BERT as a decoder. Our experiments show improved quality on some summarization tasks compared with pointer-generator networks. We also conducted a study with experienced physicians evaluating the results of our model in comparison with PGN baseline and human-generated abstracts, which showed the effectiveness of our model.

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