mlsanityData to 14 Oct 2026

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

arXiv 2311.14076 ↗First posted 23 Nov 2023cs.CLcited by 0

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Abstract (arXiv)

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 textitalready 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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References · 16

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  2. 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,898
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  4. 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 801
  5. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 766
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  11. 2020Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Taskscited by 138
  12. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
4 more
  1. 2019Survey on Evaluation Methods for Dialogue Systemscited by 126
  2. 2016Learning End-to-End Goal-Oriented Dialogcited by 104
  3. 2021Fusing task-oriented and open-domain dialogues in conversational agentscited by 28
  4. 2020Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detectioncited by 8

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