Log In Sign Up

A Neural Conversation Generation Model via Equivalent Shared Memory Investigation

by   Changzhen Ji, et al.

Conversation generation as a challenging task in Natural Language Generation (NLG) has been increasingly attracting attention over the last years. A number of recent works adopted sequence-to-sequence structures along with external knowledge, which successfully enhanced the quality of generated conversations. Nevertheless, few works utilized the knowledge extracted from similar conversations for utterance generation. Taking conversations in customer service and court debate domains as examples, it is evident that essential entities/phrases, as well as their associated logic and inter-relationships can be extracted and borrowed from similar conversation instances. Such information could provide useful signals for improving conversation generation. In this paper, we propose a novel reading and memory framework called Deep Reading Memory Network (DRMN) which is capable of remembering useful information of similar conversations for improving utterance generation. We apply our model to two large-scale conversation datasets of justice and e-commerce fields. Experiments prove that the proposed model outperforms the state-of-the-art approaches.


page 1

page 2

page 3

page 4


Summary Grounded Conversation Generation

Many conversation datasets have been constructed in the recent years usi...

DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation

Conversation is an essential component of virtual avatar activities in t...

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health

Mental illness is one of the most pressing public health issues of our t...

Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations

Recent works in neural machine translation have begun to explore documen...

Towards an Engine for Lifelong Interactive Knowledge Learning in Human-Machine Conversations

Although chatbots have been very popular in recent years, they still hav...

Towards a Continuous Knowledge Learning Engine for Chatbots

Although chatbots have been very popular in recent years, they still hav...

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

Emotion detection in conversations is a necessary step for a number of a...