@inproceedings{wu-yan-2018-deep,
title = "Deep Chit-Chat: Deep Learning for {C}hat{B}ots",
author = "Wu, Wei and
Yan, Rui",
editor = "Mausam and
Wang, Lu",
booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
month = oct # "-" # nov,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D18-3006/",
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."
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%0 Conference Proceedings
%T Deep Chit-Chat: Deep Learning for ChatBots
%A Wu, Wei
%A Yan, Rui
%Y Wang, Lu
%E Mausam
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Melbourne, Australia
%F wu-yan-2018-deep
%X 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.
%U https://aclanthology.org/D18-3006/
Markdown (Informal)
[Deep Chit-Chat: Deep Learning for ChatBots](https://aclanthology.org/D18-3006/) (Wu & Yan, EMNLP 2018)
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.