CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural
Summarization Systems

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

11 October 2020

Yiran Chen

Xipeng Qiu

Xuanjing Huang

Papers citing "CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems"

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Title
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy Yu Fu Deyi Xiong Yue Dong WaLM 53 31 0 25 Jul 2023
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 127 94 0 06 Oct 2022
Unsupervised Multi-Granularity Summarization Ming Zhong Yang Liu Suyu Ge Yuning Mao Yizhu Jiao Xingxing Zhang Yichong Xu Chenguang Zhu Michael Zeng Jiawei Han 87 8 0 29 Jan 2022
How well do you know your summarization datasets? Priyam Tejaswin Dhruv Naik Peng Liu 33 26 0 21 Jun 2021
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 258 1,433 0 22 Aug 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 207 1,255 0 14 Nov 2016