Papers by Arnab Nandi
Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths (2020.coling-main)
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| Challenge: | Abstractive summarization at controllable lengths is a challenging task in natural language processing . high variance in screen-sizes often require extensive human supervision to perform these modifications. |
| Approach: | They propose a supervised method to construct abstractive summaries of a text document at controllable lengths using an interpretable multi-headed attention mechanism. |
| Outcome: | The proposed method outperforms baselines on two low-resource datasets in English by 14.70%. |