Pre-trained models have proved to be powerful in enhancing task-oriented dialog systems.
However, current pre-training methods mainly focus on enhancing dialog understanding …

Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …

Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …

To advance the state of the art in conversational AI, Amazon launched the Alexa Prize, a 2.5
million dollar competition that challenges university teams to build conversational agents, or" …

A system that could reliably identify and sum up the most important points of a conversation
would be valuable in a wide variety of real-world contexts, from business meetings to …

This paper summarizes the latest, final version of ISO standard 24617-2 “Semantic
annotation framework, Part 2: Dialogue acts”. Compared to the preliminary version ISO DIS …

In this work, we present a novel method for classifying comments in online discussions into a
set of coarse discourse acts towards the goal of better understanding discussions at scale …

An increasing number of researchers and practitioners in Natural Language Engineering
face the prospect of having to work with entire texts, rather than individual sentences. While …

Conversation—a verbal interaction between two or more people—is a complex, pervasive,
and consequential human behavior. Conversations have been studied across many …

Agreement measures have been widely used in computational linguistics for more than 15
years to check the reliability of annotation processes. Although considerable effort has been …