Computational politeness in natural language processing: A survey
Computational approach to politeness is the task of automatically predicting and/or
generating politeness in text. This is a pivotal task for conversational analysis, given the …
generating politeness in text. This is a pivotal task for conversational analysis, given the …
[HTML][HTML] Empathic Conversational Agent Platform Designs and Their Evaluation in the Context of Mental Health: Systematic Review
R Sanjeewa, R Iyer, P Apputhurai… - JMIR Mental …, 2024 - mental.jmir.org
Background The demand for mental health (MH) services in the community continues to
exceed supply. At the same time, technological developments make the use of artificial …
exceed supply. At the same time, technological developments make the use of artificial …
Rethinking large language models in mental health applications
Large Language Models (LLMs) have become valuable assets in mental health, showing
promise in both classification tasks and counseling applications. This paper offers a …
promise in both classification tasks and counseling applications. This paper offers a …
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation
The Matthew effect is a notorious issue in Recommender Systems (RSs), ie, the rich get
richer and the poor get poorer, wherein popular items are overexposed while less popular …
richer and the poor get poorer, wherein popular items are overexposed while less popular …
Knowledge planning in large language models for domain-aligned counseling summarization
A Srivastava, S Joshi, T Chakraborty… - arXiv preprint arXiv …, 2024 - arxiv.org
In mental health counseling, condensing dialogues into concise and relevant summaries
(aka counseling notes) holds pivotal significance. Large Language Models (LLMs) exhibit …
(aka counseling notes) holds pivotal significance. Large Language Models (LLMs) exhibit …
Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation
In the digital age, cybercrimes, particularly cyber harassment, have become pressing issues,
targeting vulnerable individuals like children, teenagers, and women. Understanding the …
targeting vulnerable individuals like children, teenagers, and women. Understanding the …
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
The Matthew effect is a big challenge in Recommender Systems (RSs), where popular items
tend to receive increasing attention, while less popular ones are often overlooked …
tend to receive increasing attention, while less popular ones are often overlooked …
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System
The filter bubble is a notorious issue in Recommender Systems (RSs), which describes the
phenomenon whereby users are exposed to a limited and narrow range of information or …
phenomenon whereby users are exposed to a limited and narrow range of information or …
CIRG-SL: Commonsense Inductive Relation Graph framework with Soft Labels for Empathetic Response Generation
Q Zhang, S Huang, X Bai, R Wang, Z Zhang - Knowledge-Based Systems, 2024 - Elsevier
Empathy, the ability to understand and respond to others' emotions, is critical in dialogue
systems, particularly for applications such as psychological counselling and casual …
systems, particularly for applications such as psychological counselling and casual …
On the Way to Gentle AI Counselor: Politeness Cause Elicitation and Intensity Tagging in Code-mixed Hinglish Conversations for Social Good
Politeness is a multifaceted concept influenced by individual perceptions of what is
considered polite or impolite. With this objective, we introduce a novel task-Politeness …
considered polite or impolite. With this objective, we introduce a novel task-Politeness …