1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2022
DocAsRef: An Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely
Forrest Sheng Bao, Ruixuan Tu, Ge Luo +5
Automated summary quality assessment falls into two categories: reference-based and reference-free. Reference-based metrics, historically deemed more accurate due to the additional…
cs.CL2020★ 1 cited
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling
Forrest Sheng Bao, Hebi Li, Ge Luo +4
Canonical automatic summary evaluation metrics, such as ROUGE, focus on lexical similarity which cannot well capture semantics nor linguistic quality and require a reference summar…