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QBSUM: a Large-Scale Query-Based Document Summarization Dataset from
  Real-world Applications

QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications

27 October 2020
Mingjun Zhao
Shengli Yan
Bang Liu
Xinwang Zhong
Qian Hao
Haolan Chen
Di Niu
Bowei Long
Wei-dong Guo
    RALM
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Papers citing "QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications"

4 / 4 papers shown
Title
The State and Fate of Summarization Datasets: A Survey
The State and Fate of Summarization Datasets: A Survey
Noam Dahan
Gabriel Stanovsky
HILM
52
0
0
07 Nov 2024
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization
  Dataset
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
Allen Roush
Yusuf Shabazz
Arvind Balaji
Peter Zhang
Stefano Mezza
Markus Zhang
Sanjay Basu
S. Vishwanath
Mehdi Fatemi
Ravid Shwartz-Ziv
32
1
0
20 Jun 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
68
80
0
05 Mar 2024
Multi-document Summarization via Deep Learning Techniques: A Survey
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma
W. Zhang
Mingyu Guo
Hu Wang
Quan Z. Sheng
13
126
0
10 Nov 2020
1