总结 | 近期Chatbot领域值得读的paper
2017-01-20 17:49
393 查看
引言
Chatbot大热不仅仅是工业界的现象,学术界也跟着烧起了一把火。本文汇总了最近半年内质量比较高的paper,旨在给想了解这一领域的学生、老师和算法工程师们一个reading list,同时paperweekly也会慢慢消化这些paper,分享出更多的paper notes。本文共包括24篇paper,包含了Chatbot的方方面面。
1 Dialog Context Language Modeling with Recurrent Neural Networks
Authors Bing Liu, Ian LaneLink https://arxiv.org/abs/1701.04056
Tags Context; LM
2 A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue
Authors Mihail Eric, Christopher D. ManningLink https://arxiv.org/abs/1701.04024
Tags Copy-Augmented Seq2Seq; Task-Oriented
3
Generating Long and Diverse Responses with Neural Conversation Models
Authors Louis Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, Ray KurzweilLink https://arxiv.org/abs/1701.03185
Tags Long; Diverse
4
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
Authors Chongyang Tao, Lili Mou, Dongyan Zhao, Rui YanLink https://arxiv.org/abs/1701.03079
Tags Automatic Evaluation; Open Domain
5
Neural Personalized Response Generation as Domain Adaptation
Authors Weinan Zhang, Ting Liu, Yifa Wang, Qingfu ZhuLink https://arxiv.org/abs/1701.02073
Tags Personalize; Response Generation
6
A User Simulator for Task-Completion Dialogues
Authors Xiujun Li, Zachary C. Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, Yun-Nung ChenLink https://arxiv.org/abs/1612.05688
Tags User Simulator
7
Learning Through Dialogue Interactions
Authors Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc’Aurelio Ranzato, Jason WestonLink https://arxiv.org/abs/1612.04936
Tags Reinforcement Learning
8
Online Sequence-to-Sequence Reinforcement Learning for Open-DomainConversational Agents
Authors Nabiha Asghar, Pascal Poupart, Xin Jiang, Hang LiLink https://arxiv.org/abs/1612.03929
Tags Seq2Seq; Reinforcement Learning; Open Domain
9
Sequential Match Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots
Authors Yu Wu, Wei Wu, Ming Zhou, Zhoujun LiLink https://arxiv.org/abs/1612.01627
Tags Multi-turn; Retrieval-based
10
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager
Authors Xuesong Yang, Yun-Nung Chen, Dilek Hakkani-Tur, Paul Crook, Xiujun Li, Jianfeng Gao, Li DengLink https://arxiv.org/abs/1612.00913
Tags Joint Learning; NLU; Dialogue Manager
11
Dialogue Learning With Human-In-The-Loop
Authors Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc’Aurelio Ranzato, Jason WestonLink https://arxiv.org/abs/1611.09823
Tags Interactive; Reinforcement Learning
12
A Simple, Fast Diverse Decoding Algorithm for Neural Generation
Authors Jiwei Li, Will Monroe, Dan JurafskyLink https://arxiv.org/abs/1611.08562
Tags Diverse
13
Coherent Dialogue with Attention-based Language Models
Authors Hongyuan Mei, Mohit Bansal, Matthew R. WalterLink https://arxiv.org/abs/1611.06997
Tags Coherent; Attention
14
Generative Deep Neural Networks for Dialogue: A Short Review
Authors Iulian Vlad Serban, Ryan Lowe, Laurent Charlin, Joelle PineauLink https://arxiv.org/abs/1611.06216
Tags Review; Generative DNN
15
Detecting Context Dependent Messages in a Conversational Environment
Authors Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming ZhouLink https://arxiv.org/abs/1611.00483
Tags Context
16
Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems
Authors Yiping Song, Rui Yan, Xiang Li, Dongyan Zhao, Ming ZhangLink https://arxiv.org/abs/1610.07149
Tags Retrieval-Based; Generation-Based
17
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding
Authors Lina M. Rojas Barahona, Milica Gasic, Nikola Mrkšić, Pei-Hao Su, Stefan Ultes, Tsung-Hsien Wen, Steve YoungLink https://arxiv.org/abs/1610.04120
Tags Context; SLU
18
Dialogue Session Segmentation by Embedding-Enhanced TextTiling
Authors Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming ZhangLink https://arxiv.org/abs/1610.03955
Tags Context
19
Personalizing a Dialogue System with Transfer Learning
Authors Kaixiang Mo, Shuangyin Li, Yu Zhang, Jiajun Li, Qiang YangLink https://arxiv.org/abs/1610.02891
Tags Personalize; Transfer Learning
20
Dialogue manager domain adaptation using Gaussian process reinforcement learning
Authors Milica Gasic, Nikola Mrksic, Lina M. Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve YoungLink https://arxiv.org/abs/1609.02846
Tags Dialogue Manager; Gaussian Process Reinforcement Learning
21
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks
Authors Bing Liu, Ian LaneLink https://arxiv.org/abs/1609.01462
Tags Joint Learning; SLU; LM
22
End-to-End Reinforcement Learning of Dialogue Agents for Information Access
Authors Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li DengLink https://arxiv.org/abs/1609.00777
Tags Reinforcement Learning; Task-oriented
23
A Context-aware Natural Language Generator for Dialogue Systems
Authors Ondřej Dušek, Filip JurčíčekLink https://arxiv.org/abs/1608.07076
Tags Context; NLG
24
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation
Authors Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi JinLink https://arxiv.org/abs/1607.00970
Tags Seq2Seq; Short-Text
25 towards end to end dialog state tracking and management using deep reinforcement learning. https://arxiv.org/abs/1606.02560
https://pan.baidu.com/s/1bDMnUm
相关文章推荐
- 专题解读 |「知识图谱」领域近期值得读的 6 篇顶会论文
- 论文浅尝 | 「知识图谱」领域近期值得读的 6 篇顶会论文
- #Paper Reading# An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents
- 「推荐系统」领域近期有哪些值得读的论文?| 每周论文清单
- 专题解读 |「知识图谱」领域近期值得读的 6 篇顶会论文
- 专题解读 |「知识图谱」领域近期值得读的 6 篇顶会论文
- 「知识图谱」领域近期值得读的 6 篇顶会论文
- JAVA中[人工无脑]系统(chatbot)的实现
- 2007年技术领域最值得感谢的事情
- JAVA[人工无脑]系统(chatbot)的实现
- 近期总结&计划
- 近期的几个ASP.NET开发经验总结和收集(一)
- 近期的生活及过去一年的工作总结
- 近期项目知识点总结之AJAX实用联动实例-(文1)
- JAVA中[人工无脑]系统(chatbot)的实现
- 近期工作总结
- 近期总结&计划
- 近期Amazon值得关注技术新书
- 近期项目的一些代码总结
- 推荐阅读Java并发性领域编程最值得一读的力作《JAVA并发编程实践》