# A Multi-Party Dialogue Ressource in French

arXiv: https://arxiv.org/abs/2207.12162 · HTML: https://mlsanity.com/paper/2207.12162/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 30 references that are in the map.
- First posted on arXiv 25 Jul 2022.

## Builds on (most cited first, 2 of 2)

- [VoiceMask: Anonymize and Sanitize Voice Input on Mobile Devices](https://mlsanity.com/paper/1711.11460/) (2017)
- [Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers](https://mlsanity.com/paper/1908.09921/) (2019)

## Built on by (most cited first, 3 of 3)

- [Let's Negotiate! A Survey of Negotiation Dialogue Systems](https://mlsanity.com/paper/2212.09072/) (2022)
- [Let's Negotiate! A Survey of Negotiation Dialogue Systems](https://mlsanity.com/paper/2402.01097/) (2024)
- [ding-01 :ARG0: An AMR Corpus for Spontaneous French Dialogue](https://mlsanity.com/paper/2508.12819/) (2025)

## Abstract (arXiv)

We present Dialogues in Games (DinG), a corpus of manual transcriptions of real-life, oral, spontaneous multi-party dialogues between French-speaking players of the board game Catan. Our objective is to make available a quality resource for French, composed of long dialogues, to facilitate their study in the style of (Asher et al., 2016). In a general dialogue setting, participants share personal information, which makes it impossible to disseminate the resource freely and openly. In DinG, the attention of the participants is focused on the game, which prevents them from talking about themselves. In addition, we are conducting a study on the nature of the questions in dialogue, through annotation (Cruz Blandon et al., 2019), in order to develop more natural automatic dialogue systems.