393 citations · 825 across the 21 of their papers we have counts for
5 papers · 1 filter
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
Nabiha Asghar, Ivan Kobyzev, Jesse Hoey +2
State-of-the-art neural dialogue systems excel at syntactic and semantic modelling of language, but often have a hard time establishing emotional alignment with the human interacta…
ALOHA: Artificial Learning of Human Attributes for Dialogue Agents
Aaron W. Li, Veronica Jiang, Steven Y. Feng +3
For conversational AI and virtual assistants to communicate with humans in a realistic way, they must exhibit human characteristics such as expression of emotion and personality. C…
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
Steven Y. Feng, Aaron W. Li, Jesse Hoey
In this paper, we present a novel method for measurably adjusting the semantics of text while preserving its sentiment and fluency, a task we call semantic text exchange. This is u…
Affective Neural Response Generation
Nabiha Asghar, Pascal Poupart, Jesse Hoey +2
Existing neural conversational models process natural language primarily on a lexico-syntactic level, thereby ignoring one of the most crucial components of human-to-human dialogue…
Semi-Supervised Affective Meaning Lexicon Expansion Using Semantic and Distributed Word Representations
Areej Alhothali, Jesse Hoey
In this paper, we propose an extension to graph-based sentiment lexicon induction methods by incorporating distributed and semantic word representations in building the similarity…