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 …

In mental health counseling, condensing dialogues into concise and relevant summaries
(aka counseling notes) holds pivotal significance. Large Language Models (LLMs) exhibit …

Affective computing involves examining and advancing systems and devices capable of
identifying, comprehending, processing, and emulating human emotions, sentiment …

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 …

Medical entity disambiguation (MED) aims to ground medical mentions in text with
ontological entities in knowledge bases (KBs). A notable challenge of MED is the long …

In Medical question-answering (QA) tasks, the need for effective systems is pivotal in
delivering accurate responses to intricate medical queries. However, existing approaches …

Politeness is a key component that can assist in building a strong customer-agent
relationship. With the ongoing increase in customer-care systems, it is crucial to have …

This tutorial provides an in-depth exploration of Knowledge-enhanced Dialogue Systems
(KEDS), diving into their foundational aspects, methodologies, advantages, and practical …

The computational approach to politeness involves the automatic prediction and generation
of politeness in text, a crucial task for conversational analysis due to the pervasiveness and …