Research Article
Deep Learning Based Abstractive Text Summarization: Approaches, Datasets, Evaluation Measures, and Challenges
Table 1
Encoder and decoder components.
| | Reference | Year | Encoder | Decoder |
| | [18] | 2015 | Bag-of-words, convolutional, and attention-based | | | [29] | 2015 | RNN with LSTM units and attention | RNN with LSTM units and attention | | [39] | 2016 | RNN-LSTM decoder RNN | Word-based | | [50] | 2016 | GRU + QRNN + attention | GRU + RNN QRNN | | [38] | 2016 | Unidirectional RNN attentive encoder-decoder LSTM | Unidirectional RNN attentive encoder-decoder LSTM | | | | Bidirectional LSTM | Unidirectional LSTM | | | | Bidirectional LSTM | Decoder that had global attention | | [51] | 2016 | LSTM-RNN | LSTM-RNN | | [55] | 2016 | Two bidirectional GRU-RNN | GRU-RNN unidirection | | [52] | 2017 | Bidirectional GRU | Unidirectional GRU | | [53] | 2017 | Bidirectional GRU | Unidirectional GRU | | [56] | 2017 | Single-layer bidirectional LSTM + attention | Single-layer unidirectional LSTM | | [57] | 2017 | Bidirectional LSTM-RNN + intra-attention single | LSTM decoder + intra-attention | | [58] | 2018 | Bidirectional LSTM | Unidirectional LSTM | | [30] | 2018 | Bidirectional LSTM | Unidirectional LSTM | | [35] | 2018 | Bidirectional LSTM | Bidirectional LSTM | | [59] | 2018 | Bidirectional LSTM | Unidirectional LSTM | | [60] | 2018 | Bidirectional LSTM | 3-layer unidirectional LSTM | | [61] | 2018 | Bidirectional GRU | Unidirectional GRU | | [62] | 2018 | Bidirectional LSTM | Two-decoder unidirectional LSTM | | [63] | 2019 | Bidirectional GRU | Unidirectional GRU | | [64] | 2019 | Unidirectional GRU | Unidirectional GRU | | [49] | 2020 | Bidirectional LSTM | Unidirectional LSTM |
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