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Found 7 papers, 2 papers with code
UpStory: the Uppsala Storytelling dataset
Moreover, despite advances in the automatic analysis of human behaviour, no previous work has addressed the prediction of rapport in child-child dyadic interactions in educational settings.
Beam Search with Bidirectional Strategies for Neural Response Generation
Sequence-to-sequence neural networks have been widely used in language-based applications as they have flexible capabilities to learn various language models.
On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019
In this paper, we consider the detection of a decrease of engagement by users spontaneously interacting with a socially assistive robot in a public space.
Human-Computer Interaction Robotics
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
The dominant approaches to text representation in natural language rely on learning embeddings on massive corpora which have convenient properties such as compositionality and distance preservation.
Ranked #3 on
Sentiment Analysis
on Yelp Binary classification
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue
The task of predicting dialog acts (DA) based on conversational dialog is a key component in the development of conversational agents.
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
The task of predicting dialog acts (DA) based on conversational dialog is a key component in the development of conversational agents.
Ranked #1 on
Dialogue Act Classification
on Switchboard corpus
