Training Millions of Personalized Dialogue Agents

Abstract

Current dialogue systems are not very engaging for users, especially when trained end-to-end without relying on proactive reengaging scripted strategies. Zhang et al. (2018) showed that the engagement level of end-to-end dialogue models increases when conditioning them on text personas providing some personalized back-story to the model. However, the dataset used in Zhang et al. (2018) is synthetic and of limited size as it contains around 1k different personas. In this paper we introduce a new dataset providing 5 million personas and 700 million persona-based dialogues. Our experiments show that, at this scale, training using personas still improves the performance of end-to-end systems. In addition, we show that other tasks benefit from the wide coverage of our dataset by fine-tuning our model on the data from Zhang et al. (2018) and achieving state-of-the-art results.

arXiv commentEMNLP 2018

References in corpus (5)

• Personalizing Dialogue Agents: I have a dog, do you have pets too?
• A Persona-Based Neural Conversation Model
• A Network-based End-to-End Trainable Task-oriented Dialogue System
• Personalization in Goal-Oriented Dialog
• Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems

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• A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data
• I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents
• All-in-One Image-Grounded Conversational Agents
• Conditional Text Generation for Harmonious Human-Machine Interaction
• Proto: A Neural Cocktail for Generating Appealing Conversations
• A Large-Scale Chinese Short-Text Conversation Dataset
• Time to Take Emoji Seriously: They Vastly Improve Casual Conversational Models
• Enriching Conversation Context in Retrieval-based Chatbots
• Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems
• Extreme Multi-label Learning for Semantic Matching in Product Search