Searching for Snippets of Open-Domain Dialogue in Task-Oriented Dialogue Datasets

• URL: http://arxiv.org/abs/2311.14076v1
• Date: Thu, 23 Nov 2023 16:08:39 GMT
• Title: Searching for Snippets of Open-Domain Dialogue in Task-Oriented Dialogue Datasets
• Authors: Armand Stricker, Patrick Paroubek
• Abstract summary: chit-chat/opendomain dialogues focus on holding a socially engaging talk with a user. Task-oriented dialogues portray functional goals, such as making a restaurant reservation or booking a plane ticket. Our study shows that sequences related to social talk are indeed naturally present, motivating further research on ways chitchat is combined into task-oriented dialogues.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Most existing dialogue corpora and models have been designed to fit into 2 predominant categories : task-oriented dialogues portray functional goals, such as making a restaurant reservation or booking a plane ticket, while chit-chat/open-domain dialogues focus on holding a socially engaging talk with a user. However, humans tend to seamlessly switch between modes and even use chitchat to enhance task-oriented conversations. To bridge this gap, new datasets have recently been created, blending both communication modes into conversation examples. The approaches used tend to rely on adding chit-chat snippets to pre-existing, human-generated task-oriented datasets. Given the tendencies observed in humans, we wonder however if the latter do not \textit{already} hold chit-chat sequences. By using topic modeling and searching for topics which are most similar to a set of keywords related to social talk, we explore the training sets of Schema-Guided Dialogues and MultiWOZ. Our study shows that sequences related to social talk are indeed naturally present, motivating further research on ways chitchat is combined into task-oriented dialogues.

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