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Found 8 papers, 4 papers with code
Annotation of Valence Unfolding in Spoken Personal Narratives
In this work, we annotate a corpus of spoken personal narratives, with the emotion valence using discrete values.
Multi-source Multi-domain Sentiment Analysis with BERT-based Models
Sentiment analysis is one of the most widely studied tasks in natural language processing.
Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives
Deep Neural Networks (DNN) models have achieved acceptable performance in sentiment prediction of written text.
Are LLMs Robust for Spoken Dialogues?
Large Pre-Trained Language Models have demonstrated state-of-the-art performance in different downstream tasks, including dialogue state tracking and end-to-end response generation.
Let's Give a Voice to Conversational Agents in Virtual Reality
In this work, we present an open-source architecture with the goal of simplifying the development of conversational agents operating in virtual environments.
Understanding Emotion Valence is a Joint Deep Learning Task
We further observed that the discriminative model achieves the best trade-off of valence and EC prediction tasks in the joint prediction setting.
Whats New? Identifying the Unfolding of New Events in Narratives
We publish the annotated dataset, annotation materials, and machine learning baseline models for the task of new event extraction for narrative understanding.
What can Speech and Language Tell us About the Working Alliance in Psychotherapy
To the best of our knowledge, this is the first and a novel study to exploit speech and language for characterising working alliance.
