6 citations · 8 across the 3 of their papers we have counts for
3 papers
Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction
Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik +2
Event Temporal Relation Extraction (ETRE) is paramount but challenging. Within a discourse, event pairs are situated at different distances or the so-called proximity bands. The te…
STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models
Luke Breitfeller, Aakanksha Naik, Carolyn Rose
Despite achieving state-of-the-art accuracy on temporal ordering of events, neural models showcase significant gaps in performance. Our work seeks to fill one of these gaps by leve…
Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States
Byungsoo Jeon, Eyal Shafran, Luke Breitfeller +2
This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at-risk,…