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KILDST: Effective Knowledge-Integrated Learning for Dialogue State Tracking using Gazetteer and Speaker Information
Our evaluations of the dialogue datasets between users that plan a schedule show that our model outperforms the baseline model.
An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation
The topic of this paper is neural multi-task training for text style transfer.
VAE-PGN based Abstractive Model in Multi-stage Architecture for Text Summarization
This paper describes our submission to the TL;DR challenge.
Ensemble-Based Deep Reinforcement Learning for Chatbots
Experimental results using chitchat data reveal that (1) near human-like dialogue policies can be induced, (2) generalisation to unseen data is a difficult problem, and (3) training an ensemble of chatbot agents is essential for improved performance over using a single agent.
Self-Learning Architecture for Natural Language Generation
In this paper, we propose a self-learning architecture for generating natural language templates for conversational assistants.
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