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Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts
[article]
2019
arXiv
pre-print
In recent years, summarizers that incorporate domain knowledge into the process of text summarization have outperformed generic methods, especially for summarization of biomedical texts. However, construction and maintenance of domain knowledge bases are resource-intense tasks requiring significant manual annotation. In this paper, we demonstrate that contextualized representations extracted from the pre-trained deep language model BERT, can be effectively used to measure the similarity between
arXiv:1908.02286v2
fatcat:3pa62vuvi5hnrg5fkvvm7fsjmq