Improving Text Summarization using Ensembled Approach based on Fuzzy with LSTM
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DOI: 10.1007/s13369-020-04827-6
Abstract: Abstractive text summarization using attentional recurrent neural network (sequence-to-sequence) models have proven to be very effective. In this paper, a novel hybrid approach is presented for generating abstractive text summaries by combining fuzzy logic rules… read more here.
Keywords: flstm model; text summarization; approach; summarization using ... See more keywords