most citedTell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)

8 citations · 13 across the 5 of their papers we have counts for

collaborators

7 papers

cs.RO20211 cited

Exercise with Social Robots: Companion or Coach?

Sascha Griffiths, Tayfun Alpay, Alexander Sutherland +4

In this paper, we investigate the roles that social robots can take in physical exercise with human partners. In related work, robots or virtual intelligent agents take the role of…

cs.CL20218 cited

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)

A. Sutherland, S. Bensch, T. Hellström +2

Sentiment analysis has transitioned from classifying the sentiment of an entire sentence to providing the contextual information of what targets exist in a sentence, what sentiment…

cs.RO2021

Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue

Henrique Siqueira, Alexander Sutherland, Pablo Barros +3

Effectively recognising and applying emotions to interactions is a highly desirable trait for social robots. Implicitly understanding how subjects experience different kinds of act…

cs.CL20213 cited

Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations

A. Sutherland, S. Magg, S. Wermter

Explaining the outcome of deep learning decisions based on affect is challenging but necessary if we expect social companion robots to interact with users on an emotional level. In…

cs.LG20211 cited

Analyzing the Influence of Dataset Composition for Emotion Recognition

A. Sutherland, S. Magg, C. Weber +1

Recognizing emotions from text in multimodal architectures has yielded promising results, surpassing video and audio modalities under certain circumstances. However, the method by…

cs.HC2018

An Affective Robot Companion for Assisting the Elderly in a Cognitive Game Scenario

Nikhil Churamani, Alexander Sutherland, Pablo Barros

Being able to recognize emotions in human users is considered a highly desirable trait in Human-Robot Interaction (HRI) scenarios. However, most contemporary approaches rarely atte…