3 citations · 6 across the 5 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 2 cited
Supervised Whole DAG Causal Discovery
Hebi Li, Qi Xiao, Jin Tian
We propose to address the task of causal structure learning from data in a supervised manner. Existing work on learning causal directions by supervised learning is restricted to le…
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…