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

  • Published:2021-09 Issue: Volume:227 Page:107152
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Atri Yash KumarORCID,Pramanick Shraman,Goyal Vikram,Chakraborty Tanmoy

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference62 articles.

1. Get to the point: Summarization with pointer-generator networks;See,2017

2. Adapting the neural encoder-decoder framework from single to multi-document summarization;Lebanoff,2018

3. Bottom-up abstractive summarization;Gehrmann,2018

4. Neural abstractive summarization with structural attention;Chowdhury,2020

5. Monotonic alignments for summarization;Chung;Knowl.-Based Syst.,2020

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Text Summarisation Using BERT;International Conference on Innovative Computing and Communications;2023-10-26

2. Multimodal text summarization with evaluation approaches;Sādhanā;2023-10-24

3. Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

4. Can Multimodal Pointer Generator Transformers Produce Topically Relevant Summaries?;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

5. Assessing BigBirdPegasus and BART Performance in Text Summarization: Identifying Right Methods;2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN);2023-06
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