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 41 29 0 25 Jul 2023
Unsupervised Multi-Granularity Summarization Ming Zhong Yang Liu Suyu Ge Yuning Mao Yizhu Jiao Xingxing Zhang Yichong Xu Chenguang Zhu Michael Zeng Jiawei Han 79 8 0 29 Jan 2022
How well do you know your summarization datasets? Priyam Tejaswin Dhruv Naik Peng Liu 22 26 0 21 Jun 2021
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 254 1,430 0 22 Aug 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 207 1,253 0 14 Nov 2016