How to enhance causal discrimination of utterances: A case on affective reasoning
Our investigation into the Affective Reasoning in Conversation (ARC) task highlights the
challenge of causal discrimination. Almost all existing models, including large language …
challenge of causal discrimination. Almost all existing models, including large language …
Context-dependent embedding utterance representations for emotion recognition in conversations
Emotion Recognition in Conversations (ERC) has been gaining increasing importance as
conversational agents become more and more common. Recognizing emotions is key for …
conversational agents become more and more common. Recognizing emotions is key for …
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models
This paper presents our system development for SemEval-2024 Task 3:" The Competition of
Multimodal Emotion Cause Analysis in Conversations". Effectively capturing emotions in …
Multimodal Emotion Cause Analysis in Conversations". Effectively capturing emotions in …
Fuzzy fingerprinting transformer language-models for emotion recognition in conversations
Fuzzy Fingerprints have been successfully used as an interpretable text classification
technique, but, like most other techniques, have been largely surpassed in performance by …
technique, but, like most other techniques, have been largely surpassed in performance by …
" Stupid robot, I want to speak to a human!" User Frustration Detection in Task-Oriented Dialog Systems
MH Caralt, I Sekulić, F Carević, N Khau… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …
ConText at WASSA 2024 Empathy and Personality Shared Task: History-Dependent Embedding Utterance Representations for Empathy and Emotion Prediction in …
Empathy and emotion prediction are key components in the development of effective and
empathetic agents, amongst several other applications. The WASSA shared task on …
empathetic agents, amongst several other applications. The WASSA shared task on …
[PDF][PDF] Fine-tuned RoBERTa Model with a CNN-LSTM Network for Conversational Emotion Recognition
Textual emotion recognition in conversations has gained increasing attention in recent years
for the growing amount of applications it can serve, eg, human-robot interactions …
for the growing amount of applications it can serve, eg, human-robot interactions …
[PDF][PDF] Emotion Recognition for Human-Centered Conversational Agents
This thesis proposes a study on Emotion Recognition in Conversation to address the
challenges of the task with a chatbot reference case study to enhance conversational …
challenges of the task with a chatbot reference case study to enhance conversational …
[引用][C] MMF-GTO (Multi Modal Fusion-GRU and Transformer with Oversampling) 모델을활용한멀티모달감정인식
권도훈， 이상엽 - 한국정보과학회학술발표논문집, 2023 - dbpia.co.kr
요 약감정과 정서는 인간의 일생생활에 결정적인 역할을 수행한다. 최근 인공지능과 더불어
휴먼 인터페이스 기술이 고도화됨에 따라 인간과 컴퓨터 인터랙션의 중요성이 강조되고 있다 …
휴먼 인터페이스 기술이 고도화됨에 따라 인간과 컴퓨터 인터랙션의 중요성이 강조되고 있다 …