Amherst685 at SemEval-2021 Task 7: Joint Modeling of Classification and Regression for Humor and Offense

no code implementations • SEMEVAL 2021 • Brian Zylich, Akshay Gugnani, Gabriel Brookman, Nicholas Samoray

This paper describes our submission to theSemEval{'}21: Task 7- HaHackathon: Detecting and Rating Humor and Offense.

Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate

no code implementations • 19 May 2020 • Anand Ramakrishnan, Brian Zylich, Erin Ottmar, Jennifer LoCasale-Crouch, Jacob Whitehill

In this work we present a multi-modal machine learning-based system, which we call ACORN, to analyze videos of school classrooms for the Positive Climate (PC) and Negative Climate (NC) dimensions of the CLASS observation protocol that is widely used in educational research.

Activity Recognition BIG-bench Machine Learning