Despite much progress in training artificial intelligence (AI) systems to imitate human
language, building agents that use language to communicate intentionally with humans in …

During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …

We study a symmetric collaborative dialogue setting in which two agents, each with private
knowledge, must strategically communicate to achieve a common goal. The open-ended …

Current dialogue research primarily studies pairwise (two-party) conversations, and does
not address the everyday setting where more than two speakers converse together. In this …

This paper describes the Critical Role Dungeons and Dragons Dataset (CRD3) and related
analyses. Critical Role is an unscripted, live-streamed show where a fixed group of people …

This paper presents the results obtained by the MELODI team for the three tasks proposed
within the DISRPT 2023 shared task on discourse: segmentation, connective identification …

In this paper we present the first, to the best of our knowledge, discourse parser that is able
to predict non-tree DAG structures. We use Integer Linear Programming (ILP) to encode both …

We present a comprehensive survey of available corpora for multi-party dialogue. We survey
over 300 publications related to multi-party dialogue and catalogue all available corpora in a …

Searching huge and heterogeneous contents from the web has become an increasingly
challenging task with the contemporary growth of semantic web. In order to make the vision …

The paper describes experimental dialogue data collection activities, as well semantically
annotated corpus creation undertaken within EU-funded METALOGUE project (www …