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聊天机器人 (Chatbot) 专知荟萃

入门学习
进阶论文
综述
专门会议
Tutorial
软件

Chatbot
Chinese_Chatbot

数据集
领域专家

聊天机器人 (Chatbot) 专知荟萃

入门学习

对话系统的历史(聊天机器人发展)

[http://blog.csdn.net/zhoubl668/article/details/8490310]

微软邓力：对话系统的分类与发展历程

[https://www.leiphone.com/news/201703/6PNNwLXouKQ3EyI5.html]

Deep Learning for Chatbots, Part 1 – Introduction 聊天机器人中的深度学习技术之一：导读

[http://www.jeyzhang.com/deep-learning-for-chatbots-1.html]
[http://www.wildml.com/2016/04/deep-learning-for-chatbots-part-1-introduction/]

Deep Learning for Chatbots, Part 2 – Implementing a Retrieval-Based Model in Tensorflow 聊天机器人中的深度学习技术之二：基于检索模型的实现

[http://www.jeyzhang.com/deep-learning-for-chatbots-2.html]
[http://www.wildml.com/2016/07/deep-learning-for-chatbots-2-retrieval-based-model-tensorflow/]

自己动手做聊天机器人教程（1-42）

[https://github.com/warmheartli/ChatBotCourse]

如何让人工智能助理杜绝“智障” 微软亚洲研究院

[http://www.msra.cn/zh-cn/news/features/virtual-personal-assistant-20170411]

周明：自然语言对话引擎微软亚洲研究院

[http://www.msra.cn/zh-cn/news/features/ming-zhou-conversation-engine-20170413]

谢幸：用户画像、性格分析与聊天机器人

[http://www.msra.cn/zh-cn/news/features/xing-xie-speech-20170324]

25 Chatbot Platforms: A Comparative Table

[https://chatbotsjournal.com/25-chatbot-platforms-a-comparative-table-aeefc932eaff]

聊天机器人开发指南 IBM

[https://www.ibm.com/developerworks/cn/cognitive/library/cc-cognitive-chatbot-guide/index.html]

朱小燕：对话系统中的NLP

[http://mp.weixin.qq.com/s/JyQ34kBNh2M5avdDtL0k_Q]

使用深度学习打造智能聊天机器人张俊林

[http://blog.csdn.net/malefactor/article/details/51901115]

九款工具帮您打造属于自己的聊天机器人

[http://mobile.51cto.com/hot-520148.htm]

聊天机器人中对话模板的高效匹配方法

[http://blog.csdn.net/malefactor/article/details/52166235]

中国计算机学会通讯 2017年第9期人机对话专刊

对话系统评价技术进展及展望 by 张伟男车万翔

人机对话 by 刘挺张伟男
任务型与问答型对话系统中的语言理解技术 by 车万翔张宇
聊天机器人的技术及展望 by 武威周明
人机对话中的情绪感知与表达 by 黄民烈朱小燕
对话式交互与个性化推荐 by 胡云华
对话智能与认知型口语交互界面 by 俞凯
[https://pan.baidu.com/s/1o8Lv138]

中国人工智能学会通讯

从图灵测试到智能信息获取郝宇，朱小燕，黄民烈
智能问答技术何世柱，张元哲，刘康，赵军
社区问答系统及相关技术王斌，吉宗诚
聊天机器人技术的研究进展张伟男，刘挺
如何评价智能问答系统黄萱菁
智能助手: 走出科幻，步入现实赵世奇，吴华
[http://caai.cn/index.php?s=/Home/Article/qikandetail/year/2016/month/01.html]

进阶论文

Sequence to Sequence Learning with Neural Networks

[http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf]

A Neural Conversational Model Oriol Vinyals, Quoc Le

[http://arxiv.org/pdf/1506.05869v1.pdf]

A Diversity-Promoting Objective Function for Neural Conversation Models
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

[https://arxiv.org/abs/1605.06069]

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation

[https://arxiv.org/abs/1607.00970]

A Persona-Based Neural Conversation Model

[https://arxiv.org/abs/1603.06155]

Deep Reinforcement Learning for Dialogue Generation

[https://arxiv.org/abs/1606.01541]

End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning

[https://arxiv.org/abs/1606.01269]

A Network-based End-to-End Trainable Task-oriented Dialogue System

[https://arxiv.org/abs/1604.04562]

Incorporating Unstructured Textual Knowledge Sources into Neural Dialogue Systems

[http://www.iro.umontreal.ca/~lisa/publications2/index.php/publications/show/871]

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

[https://arxiv.org/abs/1506.06714]

A Dataset for Research on Short-Text Conversation

[http://staff.ustc.edu.cn/~cheneh/paper_pdf/2013/HaoWang.pdf\]

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

[https://arxiv.org/abs/1506.08909]

Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks, 2016

[https://arxiv.org/abs/1609.01462]

Neural Utterance Ranking Model for Conversational Dialogue Systems, 2016

[https://www.researchgate.net/publication/312250877_Neural_Utterance_Ranking_Model_for_Conversational_Dialogue_Systems\

A Context-aware Natural Language Generator for Dialogue Systems, 2016

[https://arxiv.org/abs/1608.07076]

Task Lineages: Dialog State Tracking for Flexible Interaction, 2016

[https://www.microsoft.com/en-us/research/publication/task-lineages-dialog-state-tracking-flexible-interaction-2/]

Affective Neural Response Generation

[https://arxiv.org/abs/1709.03968]

Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models

[https://arxiv.org/abs/1710.07388]

Chatbot Evaluation and Database Expansion via Crowdsourcing

[http://www.cs.cmu.edu/afs/cs/user/zhouyu/www/LREC.pdf]

A Neural Network Approach for Knowledge-Driven Response Generation

[http://www.aclweb.org/anthology/C16-1318]

Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus

[http://www.cs.toronto.edu/~lcharlin/papers/ubuntu_dialogue_dd17.pdf\]

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory ACL 2017

[https://arxiv.org/abs/1704.01074]

Flexible End-to-End Dialogue System for Knowledge Grounded Conversation

[https://arxiv.org/abs/1709.04264]

Augmenting End-to-End Dialog Systems with Commonsense Knowledge

[https://arxiv.org/abs/1709.05453]

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems

[https://arxiv.org/abs/1511.06931]

Attention with Intention for a Neural Network Conversation Model

[https://arxiv.org/abs/1510.08565]

Response Selection with Topic Clues for Retrieval-based Chatbots

[https://arxiv.org/abs/1605.00090]

LSTM based Conversation Models

[https://arxiv.org/abs/1603.09457]

Not All Dialogues are Created Equal: Instance Weighting for Neural Conversational Models

[https://arxiv.org/abs/1704.08966]

Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders ACL 2017

[https://arxiv.org/abs/1703.10960]

Words Or Characters? Fine-Grained Gating For Reading Comprehension ACL 2017

[https://arxiv.org/abs/1611.01724v1]

综述

The Dialog State Tracking Challenge Series: A Review

[https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/williams2016dstc_overview-1.pdf\]

A Survey of Available Corpora for Building Data-Driven Dialogue Systems

[https://arxiv.org/abs/1512.05742]

任务型人机对话系统中的认知技术——— 概念、进展及其未来

[http://cjc.ict.ac.cn/online/cre/yk-2015112465445-20151210162142.pdf]

专门会议

SIGDIAL ACL所属的关于对话系统的兴趣小组

[http://www.sigdial.org/workshops/conference18/]

INTERSPEECH 2017: INTERSPEECH 2017 which will take place on August 21-24 in Stockholm, Sweden, after SIGDIAL
YRRSDS 2017: Young Researchers’ Roundtable on Spoken Dialog Systems, which will take place on August 13-14 also in Saarbrücken, Germany, right before SIGDIAL.
SemDial 2017!