1 code implementation • COLING 2022 • Ge Luo, Hebi Li, Youbiao He, Forrest Sheng Bao
Evaluating machine-generated summaries without a human-written reference summary has been a need for a long time.
1 code implementation • 20 Dec 2022 • Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen
Automated summary quality assessment falls into two categories: reference-based and reference-free.
1 code implementation • 8 Jun 2020 • Hebi Li, Qi Xiao, Jin Tian
We propose a novel approach of modeling the whole DAG structure discovery as a supervised learning.
1 code implementation • NAACL 2022 • Forrest Sheng Bao, Hebi Li, Ge Luo, Minghui Qiu, Yinfei Yang, Youbiao He, Cen Chen
Canonical automatic summary evaluation metrics, such as ROUGE, focus on lexical similarity which cannot well capture semantics nor linguistic quality and require a reference summary which is costly to obtain.
no code implementations • 26 May 2019 • Hebi Li, Qi Xiao, Shixin Tian, Jin Tian
Machine learning models are vulnerable to adversarial examples.