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[HTML][HTML] Emotion detection for misinformation: A review
With the advent of social media, an increasing number of netizens are sharing and reading
posts and news online. However, the huge volumes of misinformation (eg, fake news and …
posts and news online. However, the huge volumes of misinformation (eg, fake news and …
Vision-enabled large language and deep learning models for image-based emotion recognition
The significant advancements in the capabilities, reasoning, and efficiency of artificial
intelligence (AI)-based tools and systems are evident. Some noteworthy examples of such …
intelligence (AI)-based tools and systems are evident. Some noteworthy examples of such …
From text to emotion: Unveiling the emotion annotation capabilities of llms
Training emotion recognition models has relied heavily on human annotated data, which
present diversity, quality, and cost challenges. In this paper, we explore the potential of …
present diversity, quality, and cost challenges. In this paper, we explore the potential of …
Infusing emotions into task-oriented dialogue systems: Understanding, management, and generation
Emotions are indispensable in human communication, but are often overlooked in task-
oriented dialogue (ToD) modelling, where the task success is the primary focus. While …
oriented dialogue (ToD) modelling, where the task success is the primary focus. While …
AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
Detecting fake news in large datasets is challenging due to its diversity and complexity, with
traditional approaches often focusing on textual features while underutilizing semantic and …
traditional approaches often focusing on textual features while underutilizing semantic and …
Rethinking Emotion Annotations in the Era of Large Language Models
Modern affective computing systems rely heavily on datasets with human-annotated emotion
labels, for training and evaluation. However, human annotations are expensive to obtain …
labels, for training and evaluation. However, human annotations are expensive to obtain …
" Stupid robot, I want to speak to a human!" User Frustration Detection in Task-Oriented Dialog Systems
Detecting user frustration in modern-day task-oriented dialog (TOD) systems is imperative
for maintaining overall user satisfaction, engagement, and retention. However, most recent …
for maintaining overall user satisfaction, engagement, and retention. However, most recent …
Beyond Factualism: A Study of LLM Calibration Through the Lens of Conversational Emotion Recognition
The calibration of large language models (LLMs) is crucial for ensuring their reliability and
effectiveness, especially in tasks requiring sophisticated reasoning. While significant …
effectiveness, especially in tasks requiring sophisticated reasoning. While significant …
Towards Emotion-aware Task-oriented Dialogue Systems in the Era of Large Language Models
My research interests lie in the area of modelling affective behaviours of interlocutors in
conversations. In particular, I look at emotion perception, expression, and management in …
conversations. In particular, I look at emotion perception, expression, and management in …
Reliable uncertainty estimation in emotion recognition in conversation using conformal prediction framework
Emotion recognition in conversation (ERC) faces two major challenges: biased predictions
and poor calibration. Classifiers often disproportionately favor certain emotion categories …
and poor calibration. Classifiers often disproportionately favor certain emotion categories …