Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents

Author:

Atri Yash Kumar1ORCID,Goyal Vikram1ORCID,Chakraborty Tanmoy1ORCID

Affiliation:

1. IIIT Delhi, Delhi, India

Publisher

ACM

Reference64 articles.

1. See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization

2. Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015 . Neural Machine Translation by Jointly Learning to Align and Translate . In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http://arxiv.org/abs/1409 .0473 Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http://arxiv.org/abs/1409.0473

3. Grounding Distributional Semantics in the Visual World

4. Iz Beltagy , Matthew E. Peters , and Arman Cohan . 2020 . Longformer: The Long-Document Transformer. arXiv:2004.05150 (2020). Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020. Longformer: The Long-Document Transformer. arXiv:2004.05150 (2020).

5. Isabel Cachola , Kyle Lo , Arman Cohan , and Daniel Weld . 2020 . TLDR: Extreme Summarization of Scientific Documents. In Findings of the Association for Computational Linguistics: EMNLP 2020 . Association for Computational Linguistics, Online, 4766--4777. https://doi.org/10. 18653/v1/2020.findings-emnlp. 428 10.18653/v1 Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel Weld. 2020. TLDR: Extreme Summarization of Scientific Documents. In Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, Online, 4766--4777. https://doi.org/10.18653/v1/2020.findings-emnlp.428

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1. Multi-Document Summarization Using Selective Attention Span and Reinforcement Learning;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

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