A Multi-Party Dialogue Ressource in French

07/25/2022
by   Maria Boritchev, et al.
0

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.

READ FULL TEXT
research
01/16/2019

Response to "Visual Dialogue without Vision or Dialogue" (Massiceti et al., 2018)

In a recent workshop paper, Massiceti et al. presented a baseline model ...
research
12/04/2018

Back to the Future for Dialogue Research: A Position Paper

This short position paper is intended to provide a critique of current a...
research
05/27/2023

MPCHAT: Towards Multimodal Persona-Grounded Conversation

In order to build self-consistent personalized dialogue agents, previous...
research
09/06/2018

Training Millions of Personalized Dialogue Agents

Current dialogue systems are not very engaging for users, especially whe...
research
02/28/2023

Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset

In visual instruction-following dialogue games, players can engage in re...
research
09/17/2020

Structured Attention for Unsupervised Dialogue Structure Induction

Inducing a meaningful structural representation from one or a set of dia...
research
11/30/2022

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format

Diverse data formats and ontologies of task-oriented dialogue (TOD) data...

Please sign up or login with your details

Forgot password? Click here to reset