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
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- Language:
- URL:
- https://aclanthology.org/D18-3006
- DOI:
- 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)