A Multi-Party Dialogue Ressource in French (2022.lrec-1)

Copied to clipboard

Challenge: a corpus of manual transcriptions of real-life, oral, spontaneous multi-party dialogues is available for French-speaking players of the board game Catan.
Approach: They propose to make available a corpus of manual transcriptions of real-life, oral, spontaneous multi-party dialogues between french-speaking players of the board game Catan.
Outcome: The proposed corpus is composed of long human-human interactions and can be used for dialogue studies in many fields.

Similar Papers

Natural Language Processing for Multilingual Task-Oriented Dialogue (2022.acl-tutorials)

Copied to clipboard

Challenge: a tutorial will examine the challenges and gaps in multilingual ToD research . multilingual systems are difficult to build, and are limited to English and other languages .
Approach: This tutorial will discuss the importance of multilingual task-oriented dialogue systems . it will provide an overview of current research gaps, challenges and initiatives related to multilingual ToD systems - with a particular focus on their connections to current research and challenges in multilingual and low-resource NLP.
Outcome: This tutorial will provide an overview of current research gaps, challenges and initiatives related to multilingual ToD systems.
FREDSum: A Dialogue Summarization Corpus for French Political Debates (2023.findings-emnlp)

Copied to clipboard

Challenge: Recent advances in deep learning have improved the performance of abstractive summarization systems.
Approach: They present a dataset of french political debates to enhance resources for multi-lingual dialogue summarization.
Outcome: The proposed dataset will be made publicly available for use by the research community.
A Brief Survey of Textual Dialogue Corpora (2022.lrec-1)

Copied to clipboard

Challenge: Several dialogue corpora are available for research purposes, but they do not cover all the necessities of real-world applications.
Approach: They analyze available dialogue corpora and propose possible approaches to create new ones.
Outcome: The proposed corpus of human-human dialogues is based on a list of available dialogue corpora . it covers speakers, size, languages, collection, annotations, and domains . some trends are identified and possible approaches are also discussed .
Let’s Negotiate! A Survey of Negotiation Dialogue Systems (2024.findings-eacl)

Copied to clipboard

Challenge: Recent research has focused on negotiation dialogue systems, but no systematic review of this task has been conducted.
Approach: They propose to provide a systematic review of negotiation dialogue systems and to provide an overview of current research.
Outcome: The proposed systems are based on the literature and are compared against existing systems.
A French Medical Conversations Corpus Annotated for a Virtual Patient Dialogue System (2020.lrec-1)

Copied to clipboard

Challenge: Existing methods for creating virtual patient dialogue systems require large data specific to the language, domain and clinical cases studied.
Approach: They propose to build an annotated corpus of medical dialogues in french using medical interviews and a data annotation scheme.
Outcome: The proposed corpus is made publicly available under a Free/Libre Open Source licence.
Construction and Analysis of a Multimodal Chat-talk Corpus for Dialog Systems Considering Interpersonal Closeness (2020.lrec-1)

Copied to clipboard

Challenge: a large-scale multimodal dialog corpus is needed to accelerate research on dialog systems that can handle social signals and verbal information.
Approach: They construct a multimodal dialog corpus focusing on the relationship between speakers and 19 pairs of participants.
Outcome: The proposed system is based on a multimodal dialog corpus of 19,303 utterances (10 hours) from 19 pairs of participants.
A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games (2023.findings-emnlp)

Copied to clipboard

Challenge: evaluating the player experience in a roleplaying game augmented with LLM-generated dialogue remains a major challenge.
Approach: They propose a dynamic evaluation framework for the dialogue management systems that govern the task-oriented dialogue often found in roleplaying video games.
Outcome: The proposed framework directly evaluates the performance of LLM-generated dialogue in a role-playing game with 28 players.
Multi-Party Empathetic Dialogue Generation: A New Task for Dialog Systems (2022.acl-long)

Copied to clipboard

Challenge: Existing work on empathetic dialogues focused on the two-party scenario, but multi-party dialogues are pervasive in reality.
Approach: They propose a multi-party empathetic dialogue generation task that uses a static-dynamic model to explore emotion and sensibility.
Outcome: The proposed task is based on a model with static sensibility and dynamic emotion . it achieves state-of-the-art performance in multi-party empathetic dialogue learning .
In Search of the Lost Arch in Dialogue: A Dependency Dialogue Acts Corpus for Multi-Party Dialogues (2025.findings-acl)

Copied to clipboard

Challenge: Understanding speaker intentions remains a challenge in NLP . a number of corpora annotated using theoretical frameworks of dialogue focus on utterance-level labeling of speaker intent, missing wider context, or the rhetorical structure of a dialogue.
Approach: They propose to annotate a corpus of 33 dialogues and over 9,000 utterance units using the Dependency Dialogue Acts framework.
Outcome: The proposed corpus spans four genres of multi-party conversations from different modalities.
DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models (2024.naacl-demo)

Copied to clipboard

Challenge: DIALIGHT is a toolkit for developing and evaluating multilingual Task-Oriented Dialogue systems.
Approach: They propose a toolkit for developing and evaluating multilingual Task-Oriented Dialogue systems which facilitates systematic evaluations and comparisons between ToD systems using pretrained language models and those utilising the zero-shot and in-context learning capabilities of Large Language Models.
Outcome: The toolkit enables systematic evaluations between ToD systems using pretrained language models and those utilising the zero-shot and in-context learning capabilities of Large Language Models (LLMs).

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations