Log In Sign Up

Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

by   Zekang Li, et al.

Nowadays, open-domain dialogue models can generate acceptable responses according to the historical context based on the large-scale pre-trained language models. However, they generally concatenate the dialogue history directly as the model input to predict the response, which we named as the flat pattern and ignores the dynamic information flow across dialogue utterances. In this work, we propose the DialoFlow model, in which we introduce a dynamic flow mechanism to model the context flow, and design three training objectives to capture the information dynamics across dialogue utterances by addressing the semantic influence brought about by each utterance in large-scale pre-training. Experiments on the multi-reference Reddit Dataset and DailyDialog Dataset demonstrate that our DialoFlow significantly outperforms the DialoGPT on the dialogue generation task. Besides, we propose the Flow score, an effective automatic metric for evaluating interactive human-bot conversation quality based on the pre-trained DialoFlow, which presents high chatbot-level correlation (r=0.9) with human ratings among 11 chatbots. Code and pre-trained models will be public. [<>]


EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training

Although pre-trained language models have remarkably enhanced the genera...

WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track

We participate in the DSTC9 Interactive Dialogue Evaluation Track (Gunas...

"No, they did not": Dialogue response dynamics in pre-trained language models

A critical component of competence in language is being able to identify...

TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization

Although pre-trained language models (PLMs) have achieved great success ...

Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models

Recent open-domain dialogue models have brought numerous breakthroughs. ...

Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations

There is growing interest in the automated extraction of relevant inform...