Towards a Multi-Entity Aspect-Based Sentiment Analysis for Characterizing Directed Social Regard in Online Messaging

no code implementations • NAACL (WOAH) 2022 • Joan Zheng, Scott Friedman, Sonja Schmer-Galunder, Ian Magnusson, Ruta Wheelock, Jeremy Gottlieb, Diana Gomez, Christopher Miller

Online messaging is dynamic, influential, and highly contextual, and a single post may contain contrasting sentiments towards multiple entities, such as dehumanizing one actor while empathizing with another in the same message. These complexities are important to capture for understanding the systematic abuse voiced within an online community, or for determining whether individuals are advocating for abuse, opposing abuse, or simply reporting abuse.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)

A Symbolic Representation of Human Posture for Interpretable Learning and Reasoning

no code implementations • 17 Oct 2022 • Richard G. Freedman, Joseph B. Mueller, Jack Ladwig, Steven Johnston, David McDonald, Helen Wauck, Ruta Wheelock, Hayley Borck

Robots that interact with humans in a physical space or application need to think about the person's posture, which typically comes from visual sensors like cameras and infra-red.

Activity Recognition