Generative Dialogue System with Knowledge Base

MPhil Thesis Defence


Title: "Generative Dialogue System with Knowledge Base"

By

Miss Wenya ZHU


Abstract

Building dialogue systems that can converse naturally with humans is a 
challenging yet intriguing problem of artificial intelligence. Dialogue system 
is categorized into task-oriented system and open-domain system. In open-domain 
dialogue system, the system is expected to respond to human utterances in an 
interesting and engaging way. With the development of deep learning and the 
availability of large corpora, there is a trend towards developing generative 
dialogue systems. However, current generative dialogue system is learned 
directly from the dialogue corpus and ignores the common sense knowledge, which 
makes it difficult to respond substantively. Hence, common sense knowledge has 
to be effectively integrated in the generative dialogue system. Knowledge graph 
is a structured data to represent the common sense knowledge. In this thesis, 
we investigate the impact of connecting knowledge graph with the generative 
dialogue system. In single- turn setting, we propose generative dialogue system 
(GenDS) which can generate the reply with multiple knowledge triples. Besides, 
GenDS does not rely on the representations of entities, thus can handle 
out-of-vocabulary entities. In the multi-turn scenario, we propose a multi-turn 
GenDS which jointly takes into account message history and related common sense 
for generating a coherent response. We collect a human-human conversation data 
(ConversMusic) with knowledge annotations. The proposed systems are evaluated 
on CoversMusic and a public question answering dataset. Our proposed systems 
outperform baseline methods significantly in terms of the BLEU, entity 
accuracy, entity recall and human evaluation.


Date:			Friday, 10 August 2018

Time:			3:00pm - 5:00pm

Venue:			Room 5506
 			Lifts 25/26

Committee Members:	Prof. Qiang Yang (Supervisor)
 			Dr. Kai Chen (Chairperson)
 			Dr. Ming Liu (ECE)


**** ALL are Welcome ****