Reference Matters: Benchmarking Factual Error Correction for Dialogue
Summarization with Fine-grained Evaluation Framework

Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework

8 June 2023

Xiaojun Wan

Papers citing "Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework"

4 / 4 papers shown

Title
Improving Factual Consistency in Summarization with Compression-Based Post-Editing Alexander R. Fabbri Prafulla Kumar Choubey Jesse Vig Chien-Sheng Wu Caiming Xiong HILM KELM 44 17 0 11 Nov 2022
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling Vidhisha Balachandran Hannaneh Hajishirzi William W. Cohen Yulia Tsvetkov HILM KELM 87 46 0 22 Oct 2022
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 231 305 0 27 Apr 2021
Factual Error Correction for Abstractive Summarization Models Mengyao Cao Yue Dong Jiapeng Wu Jackie C.K. Cheung HILM KELM 169 159 0 17 Oct 2020