Team MTS @ AutoMin 2021: An Overview of Existing Summarization Approaches and Comparison to Unsupervised Summarization Techniques

4 October 2024

Papers citing "Team MTS @ AutoMin 2021: An Overview of Existing Summarization Approaches and Comparison to Unsupervised Summarization Techniques"

7 / 7 papers shown

Title
Automatic Speech Summarisation: A Scoping Review Dana Rezazadegan S. Berkovsky J. Quiroz A. Kocaballi Ying Wang L. Laranjo E. Coiera 26 14 0 27 Aug 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang Yao-Min Zhao Mohammad Saleh Peter J. Liu RALM 3DGS 258 2,044 0 18 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 381 20,053 0 23 Oct 2019
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 441 1,445 0 22 Aug 2019
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks S. Rothe Shashi Narayan Aliaksei Severyn SILM 98 436 0 29 Jul 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation Li Dong Nan Yang Wenhui Wang Furu Wei Xiaodong Liu Yu Wang Jianfeng Gao M. Zhou H. Hon ELM AI4CE 200 1,555 0 08 May 2019
Universal Sentence Encoder Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco ... Steve Yuan Chris Tar Yun-hsuan Sung B. Strope R. Kurzweil 411 1,904 0 29 Mar 2018