Papers by Ghazal Neisi Minaei
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization (2021.emnlp-main)
Copied to clipboard
| Challenge: | Abstractive summarization is one of the areas influenced by pre-trained language models. |
| Approach: | They propose a Transformer-based encoder-decoder model pre-trained with three novel objectives to address this issue. |
| Outcome: | The proposed model outperforms previous models on six Persian summarization tasks . it also outperformed previous models in textual entailment, question paraphrasing, and question answering . |