4 citations · 13 across the 14 of their papers we have counts for
3 papers · 1 filter
Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?
Seyed Mahed Mousavi, Simone Caldarella, Giuseppe Riccardi
Longitudinal Dialogues (LD) are the most challenging type of conversation for human-machine dialogue systems. LDs include the recollections of events, personal thoughts, and emotio…
Understanding Emotion Valence is a Joint Deep Learning Task
Gabriel Roccabruna, Seyed Mahed Mousavi, Giuseppe Riccardi
The valence analysis of speakers' utterances or written posts helps to understand the activation and variations of the emotional state throughout the conversation. More recently, t…
Whats New? Identifying the Unfolding of New Events in Narratives
Seyed Mahed Mousavi, Shohei Tanaka, Gabriel Roccabruna +3
Narratives include a rich source of events unfolding over time and context. Automatic understanding of these events provides a summarised comprehension of the narrative for further…