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Extractive Summarization Based on Dynamic Memory Network
2021
Symmetry
We present an extractive summarization model based on the Bert and dynamic memory network. The model based on Bert uses the transformer to extract text features and uses the pre-trained model to construct the sentence embeddings. The model based on Bert labels the sentences automatically without using any hand-crafted features and the datasets are symmetry labeled. We also present a dynamic memory network method for extractive summarization. Experiments are conducted on several summarization
doi:10.3390/sym13040600
fatcat:wta4uiphqbcm7gghnv4tpdniei