Deep Chit-Chat: Deep Learning for ChatBots

Wei Wu, Rui Yan


Abstract
The tutorial is based on the long-term efforts on building conversational models with deep learning approaches for chatbots. We will summarize the fundamental challenges in modeling open domain dialogues, clarify the difference from modeling goal-oriented dialogues, and give an overview of state-of-the-art methods for open domain conversation including both retrieval-based methods and generation-based methods. In addition to these, our tutorial will also cover some new trends of research of chatbots, such as how to design a reasonable evaluation system and how to "control" conversations from a chatbot with some specific information such as personas, styles, and emotions, etc.
Anthology ID:
D18-3006
Volume:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
Month:
October-November
Year:
2018
Address:
Melbourne, Australia
Editors:
Mausam, Lu Wang
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
Language:
URL:
https://aclanthology.org/D18-3006
DOI:
Bibkey:
Cite (ACL):
Wei Wu and Rui Yan. 2018. Deep Chit-Chat: Deep Learning for ChatBots. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Deep Chit-Chat: Deep Learning for ChatBots (Wu & Yan, EMNLP 2018)
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