Search Results for author: Luke Breitfeller

Found 5 papers, 0 papers with code

STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models

no code implementations15 May 2021 Luke Breitfeller, Aakanksha Naik, Carolyn Rose

We demonstrate the utility of extracted cues by integrating them with an event ordering model using a joint BiLSTM and ILP constraint architecture.

TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events

no code implementations WS 2019 Aakanksha Naik, Luke Breitfeller, Carolyn Rose

Prior work on temporal relation classification has focused extensively on event pairs in the same or adjacent sentences (local), paying scant attention to discourse-level (global) pairs.

Relation Classification Sentence +1

Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States

no code implementations1 May 2019 Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rose

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, with the goal of providing supportive interventions.

Time Series Time Series Analysis

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