Despite advancements in conversational AI, language models encounter challenges to
handle diverse conversational tasks, and existing dialogue dataset collections often lack …

Abstractive dialogue summarization is the task of distilling conversations into informative
and concise summaries. Although focused reviews have been conducted on this topic, there …

Recent advances in deep learning, and especially the invention of encoder-decoder
architectures, has significantly improved the performance of abstractive summarization …

Meeting summarization has emerged as a promising technique for providing users with
condensed summaries. However, existing work has focused on training models on …

In this article, we report the findings of the second shared task on Automatic Minuting
(AutoMin) held as a Generation Challenge at the 16th International Natural Language …

Meeting summarization has become crucial as the world is gradually shifting towards remote
work. Nowadays, automation of meeting summary generation is really needed in order to …

Meeting summarization is challenging due to complex multi-party interactions with
spontaneous utterances. This paper tries to mitigate this challenge by leveraging dialogue …

In dialogue systems, one option for creating a better dialogue experience for the user is to
have a human operator take over the dialogue when the system runs into trouble …

This paper introduces a novel approach called sentence-wise speech summarization (Sen-
SSum), which generates text summaries from a spoken document in a sentence-by …

We present the Claire French Dialogue Dataset (CFDD), a resource created by members of
LINAGORA Labs in the context of the OpenLLM France initiative. CFDD is a corpus …