# dialogue-system **Repository Path**: jayin/dialogue-system ## Basic Information - **Project Name**: dialogue-system - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 2 - **Forks**: 0 - **Created**: 2020-04-07 - **Last Updated**: 2022-04-16 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ## Contents 1. [Awesome](#Awesome) 2. [Conference](#Conference) 3. [Scholar](#Scholar) 4. [Application](#Application) 5. [Competition](#Competition) 6. [Literature_review](#Literature_review) 7. [Paper_notes](#Paper_notes) 8. [Paper](#Paper) --- ## Awesome - https://github.com/gaoisbest/NLP-Projects/tree/master/3_Dialog_system - --- ## Conference - SIGdial (Special Interest Group on Discourse and Dialogue) https://www.sigdial.org/ --- ## Scholar - Maxine Eskenazi [site](http://www.cs.cmu.edu/~max/) Tiancheng Zhao [site](https://www.cs.cmu.edu/~tianchez/) | [github](https://github.com/snakeztc) task-oriented dialog generation :star::star::star::star::star: - Chien-Sheng Wu (Research Scientist at Salesforce Research) [site]() --- ## Application ### 微软 小冰 - The Design and Implementation of XiaoIce, an Empathetic Social Chatbot, 2018.12, [arxiv](https://arxiv.org/pdf/1812.08989.pdf) 详细介绍了系统架构和关键组件，包括对话管理器、核心聊天、技能和移情计算模块。在系统设计中考虑了智商（IQ）和情商（EQ），将人机社交聊天作为马尔可夫决策过程（MDP）的决策，并优化了小冰的长期用户参与度和预期的每次会话对话（CPS）。我们展示了小冰如何动态识别人类的感受和状态，理解用户意图，并在长时间的对话中响应用户需求。 - From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots, 2018.01, [arxiv](https://arxiv.org/abs/1801.01957) - 全双工语音对话以及在智能硬件上的应用，微软小冰全球首席架构师及研发总监周力，2019.01.17 - 微软小冰与情感计算框架，微软（亚洲）互联网工程院副院长李笛，2019.01.10 [ppt and video](https://pan.baidu.com/s/1jTM0J9kqnG_Jl1cfsAUdMA) - 微软小冰技术交流会，微软（亚洲）互联网工程院，2018.03.28 全双工语音交互感官（Full-duplex Voice Sense） - 研发人员 微软亚洲研究院 [people](https://www.microsoft.com/en-us/research/group/natural-language-computing/?from=http%3A%2F%2Fresearch.microsoft.com%2Fen-us%2Fgroups%2Fnlc%2F) 微软小冰首席科学家武威 [publications](https://www.microsoft.com/en-us/research/people/wuwei/#!publications) 微软小冰全球首席架构师及研发总监周力 ### Alex + Alex Dialogue Systems Framework [github](https://github.com/UFAL-DSG/alex) + ### AliMe (阿里小蜜) + 阿里云小蜜对话机器人背后的核心算法 [blog](https://mp.weixin.qq.com/s/ksVbQq42ay5lxcfqNwBgxA) + AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience, 2018 [arxiv](https://arxiv.org/abs/1801.05032) + AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine, ACL 2017 [paper](http://aclweb.org/anthology/P17-2079) + AliMe KBQA: Question Answering over Structured Knowledge for E-commerce Customer Service Feng-Lin Li, Weijia Chen, Qi Huang, Yikun Guo [arxiv]() ### Replika.ai + CakeChat: Emotional Generative Dialog System [https://cakechat.replika.ai](https://cakechat.replika.ai/) | [code](https://github.com/lukalabs/cakechat) ### SenticNet + https://github.com/SenticNet --- ## Competition + Amazon Alexa Prize https://sounding-board.github.io/ + DSTC (Dialog State/System Tracking Challenge) DSTC1 Domain - Bus Route Task - Evaluation Metrics DSTC2 Domain - Restaurant Task - User Goal Changes DSTC3 Domain - Tourist Information Task - Domain Adaptation DSTC4 Domain - Tourist Information Task - Human Conversation DSTC5 Domain - Tourist Information Task - Language Adaptation DSTC6
Track End-to-End Goal-Oriented Dialog Learning
End-to-End Conversation Modeling
Dialogue Breakdown Detection DSTC7 http://workshop.colips.org/dstc7/call.html
Track Sentence Selection: goal-oriented multi-turn dialog
Sentence Generation
Audio Visual Scene-aware dialog (AVSD)
Workshop (paperlist) - http://workshop.colips.org/dstc7/workshop.html Sentence Selection: 1st place - [paper](http://workshop.colips.org/dstc7/papers/07.pdf) | [slide](http://workshop.colips.org/dstc7/papers/DSTC7-Track1-QianChen.pdf) + SLT 2018 Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems https://github.com/xiul-msr/e2e_dialog_challenge
Task Movie-Ticket Booking
Restaurant Reservation
Taxi Ordering
+ ConvAI (The Conversation Intelligence Challenge) https://github.com/DeepPavlov/convai ConvAI2 Track - Persona-Chat Personalizing Dialogue Agents: I have a dog, do you have pets too?, 2018 [arxiv](https://arxiv.org/abs/1801.07243) the winner has been announced: ["Lost in Conversation"](https://github.com/atselousov/transformer_chatbot)! See the presentation slides for all details: [intro](https://github.com/DeepPavlov/convai/blob/master/NeurIPSConvAI2-IntroPres.pptx), [results](https://github.com/DeepPavlov/convai/blob/master/NeurIPSConvAI2ResultsPres.pptx), [top team presentations](https://github.com/DeepPavlov/convai/blob/master/NeurIPSParticipantSlides.pptx), and [future work](https://github.com/DeepPavlov/convai/blob/master/NeurIPSConvAI2FutureWork.pptx). ConvAI1
http://convai.io/2017/
Track - The aim of the competition was to implement a bot capable of conversing with humans based on a given passage of text.
[1st place](https://github.com/sld/convai-bot-1337) + TREC + NLPCC NLPCC 2016 + Open Domain Question Answering System Based on Knowledge Base 1st [code](https://github.com/huangxiangzhou/NLPCC2016KBQA) NLPCC 2017 http://tcci.ccf.org.cn/conference/2017/taskdata.php http://tcci.ccf.org.cn/conference/2017/papers/ + **Emotional Conversation Generation** http://coai.cs.tsinghua.edu.cn/hml/challenge/ Overview of the NLPCC 2017 Shared Task: Emotion Generation Challenge [paper](http://coai.cs.tsinghua.edu.cn/hml/media/files/Overview_of_the_NLPCC_2017_Shared_Task__Emotion_Generation_Challenge.pdf) [Second - Babbling-The HIT-SCIR System for Emotional Conversation Generation]() NLPCC 2018 http://tcci.ccf.org.cn/conference/2018/taskdata.php http://tcci.ccf.org.cn/conference/2018/papers/ + **Grammatical Error Correction** + **Spoken Language Understanding in Task-Oriented Dialogue Systems** Overview of the NLPCC 2018 Shared Task: Spoken Language Understanding in Task-Oriented Dialog Systems, [paper](tcci.ccf.org.cn/conference/**2018**/papers/EV33.pdf) + **Multi-Turn Human-Computer Conversations** Overview of the NLPCC 2018 Shared Task: Multi-turn Human-Computer Conversations [paper](http://tcci.ccf.org.cn/conference/2018/papers/EV52.pdf) 1st [paper](http://tcci.ccf.org.cn/conference/2018/papers/EV43.pdf) 2nd [paper](http://tcci.ccf.org.cn/conference/2018/papers/EV5.pdf) | [code](https://github.com/jimth001/NLPCC2018_Multi_Turn_Response_Selection) + **Open Domain Question Answering** Overview of the NLPCC 2018 Shared Task: Open Domain QA [paper](http://tcci.ccf.org.cn/conference/2018/papers/EV51.pdf) NLPCC 2019 http://lic2019.ccf.org.cn/talk https://github.com/baidu/knowledge-driven-dialogue --- + STC (Short Text Conversation) [NTCIR-12](http://research.nii.ac.jp/ntcir/ntcir-12/index.html) - October 31, 2015 + [STC](http://ntcir12.noahlab.com.hk/stc.htm) + Single-round, chatbot + retrieval + Overview of the NTCIR-12 Short Text Conversation Task, [paper](http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings12/pdf/ntcir/OVERVIEW/01-NTCIR12-OV-STC-ShangL.pdf) | [slides](http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings12/pdf/ntcir/OVERVIEW/01-NTCIR12-OV-STC-ShangL_slides.pdf) [NTCIR-13](http://research.nii.ac.jp/ntcir/ntcir-13/index.html) - April 30th 2017 + [STC-2](http://ntcirstc.noahlab.com.hk/STC2/stc-cn.htm) + Single-round, chatbot + retrieval, generation + Overview of the NTCIR-13 Short Text Conversation Task, [paper](http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings13/pdf/ntcir/01-NTCIR13-OV-STC-ShangL.pdf) + 1st, SG01 at the NTCIR-13 STC-2 Task [paper](https://pdfs.semanticscholar.org/27db/6405eb83709918d75b87fe80ba5acc36277f.pdf) [NTCIR-14](http://research.nii.ac.jp/ntcir/ntcir-14/index.html) - Sep 9th, 2018 + [STC-3](http://sakailab.com/ntcir14stc3/) + Chinese Emotional Conversation Generation subtask, [datasets](http://coai.cs.tsinghua.edu.cn/hml/challenge/dataset_description/) Single-round, chatbot + Dialogue Quality subtask Multi-round, task-oriented chatbot + Nugget Detection subtask Multi-round, task-oriented chatbot --- ## Literature_review + Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems, Yun-Nung (Vivian) Chen, Ph.D. dissertation [pdf](https://www.csie.ntu.edu.tw/~yvchen/publication.html#thesis) ### 2018 + Deep Chit-Chat: Deep Learning for ChatBots, Wei Wu and Rui Yan, EMNLP [ppt](http://www.ruiyan.me/pubs/tutorial-emnlp18.pdf) | [video](https://vimeo.com/305179403) | [paper](http://ruiyan.me/pubs/IJCAI2018.pdf) 微软小冰首席科学家武威 北京大学助理教授严睿 :star::star::star::star::star: + Neural Approaches to Conversational AI, Jianfeng Gao, [arxiv](https://arxiv.org/abs/1809.08267) Neural Approaches to Conversational AI ACL 2018 [ppt](https://www.microsoft.com/en-us/research/uploads/prod/2018/07/neural-approaches-to-conversational-AI.pdf) :star::star::star::star::star: - Deep Learning for Dialogue Systems, COLING 2018 [site](https://sites.google.com/view/deepdial/) | [paper](http://aclweb.org/anthology/C18-3006) | [slide](https://www.csie.ntu.edu.tw/~yvchen/doc/COLING18_Tutorial.pdf) :star::star::star::star::star: - A Survey on Dialogue Systems: Recent Advances and New Frontiers, JD [arxiv](https://arxiv.org/abs/1711.01731) ### 2017 + Teaching Machines to Converse, Jiwei Li's Thesis 2017 [code](https://github.com/jiweil/Jiwei-Thesis) | [thesis](https://github.com/jiweil/Jiwei-Thesis/blob/master/thesis.pdf) ### 2016 + Dialog System 总结 [site](https://blog.csdn.net/abcjennifer/article/details/53428053#a-network-based-end-to-end-trainable-task-oriented-dialogue-system) ### Question + Neural approaches in spoken language understanding is just for domain or intent detection and slot filling? --- ## Paper_notes Neural Network Dialog System Papers [github](https://github.com/snakeztc/NeuralDialogPapers) active :star::star::star::star::star: deeplearning-papernotes [github](https://github.com/sld/deeplearning-papernotes) active chatbots [github](https://github.com/minghui/chatbots) - product attention, such as AliMe!!! chatbots [github](https://github.com/fuzhenxin/Personal-Emotional-Stylized-Dialog) - personalized, emotional, and stylized attention!!! chatbots [github](https://github.com/IsaacChanghau/DL-NLP-Readings/blob/master/readme/nlp/dialogue.md) - 2018 chatbots [github](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images) - 2017 --- ## Paper ### multi-hop ### dialogue management (context) #### 多场景切换 #### 跨场景继承 ### natural language understanding #### personality (人格) 如何让机器人具有特定的说话风格 - Learning Personalized End-to-End Goal-Oriented Dialog, [Liangchen Luo](https://www.luolc.com/), Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun, AAAI-19 [arxiv](https://arxiv.org/abs/1811.04604) https://mp.weixin.qq.com/s/AqzdRoXthrUFUOqSNwgfqQ - Assigning personality/identity to a chatting machine for coherent conversation generation, Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu, IJCAI 2018 [arxiv](https://arxiv.org/abs/1706.02861) | [code](https://github.com/qianqiao/AssignPersonality) | [data](http://coai.cs.tsinghua.edu.cn/hml/dataset/) personality, includes name, gender, age, location, weight, constellation, hobby, idol, speciality, employer - extracted from Weibo Dataset with regular expression patterns. 为了可控性，可以直接用正则表达式解决！ #### sentimental/emotional (情商) - - MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation - Emotionally-Aware Chatbots: A Survey, Endang Wahyu Pamungkas, [arxiv]() - Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory, Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu, AAAI 2018 [arxiv](https://arxiv.org/abs/1704.01074) | [data](http://coai.cs.tsinghua.edu.cn/hml/dataset/) | [code](http://coai.cs.tsinghua.edu.cn/publications/) - [x] natural language generation #### semantic phenomena ##### coreference https://medium.com/huggingface/state-of-the-art-neural-coreference-resolution-for-chatbots-3302365dcf30 ##### anaphora/pronoun resolution ##### ellipsis - Building an Ellipsis-aware Chinese Dependency Treebank for Web Text, Xuancheng Ren, Xu Sun, Ji Wen, Bingzhen Wei, Weidong Zhan, Zhiyuan Zhang, 2018, [arxiv](https://arxiv.org/abs/1801.06613) | [code](https://github.com/lancopku/Chinese-Dependency-Treebank-with-Ellipsis) ##### sentence function interrogative, declarative, imperative, and exclamatory - Generating Informative Responses with Controlled Sentence Function, 柯沛、关健、黄民烈、朱小燕. ACL 2018 [paper](http://aclweb.org/anthology/P18-1139) | [data](http://coai.cs.tsinghua.edu.cn/hml/dataset/) | [code](https://github.com/kepei1106/SentenceFunction) #### utterance compression #### short text understanding ### natural language generation #### sentence editing (句子可控改写) #### grammar error detection ### data augmentation + Sequence-to-sequence Data Augmentation for Dialogue Language Understanding. Yutai Hou, Yijia Liu, Wanxiang Che, Ting Liu, COLING 2018 [code](https://github.com/AtmaHou/Seq2SeqDataAugmentationForLU) + [x] a sequence-to-sequence generation based data augmentation framework 用户输入多样性拓展生成 --- more refer: 实录分享 | 计算未来轻沙龙：对话系统研究进展（视频 + PPT） https://blog.csdn.net/c9Yv2cf9I06K2A9E/article/details/82392595 CIIS2018演讲实录丨哈尔滨工业大学车万翔：任务型对话系统研究进展 https://mp.weixin.qq.com/s/UZbt1E6QntwtWWvJfTL3eQ ??? https://github.com/bnsblue/awesome-dialogue-management [多轮对话之对话管理(Dialog Management)](https://zhuanlan.zhihu.com/p/32716205) **1. aiml 地址** https://github.com/Shuang0420/aiml **2. 填槽与多轮对话** http://t.cn/RQfkTPP **3. CMU Communicator 论文** http://www.cs.cmu.edu/~xw/asru99-agenda.pdf **4. NLP 笔记 - Meaning Representation Languages** http://t.cn/RQfFMAo **5. NLP 笔记 - Discourse Analysis** http://t.cn/RQfFacE **6. Plan-based models of dialogue** http://t.cn/RQfFC1b