总结 | 近期Chatbot领域值得读的paper
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 Lane
Link 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. Manning
Link 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 Kurzweil
Link 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 Yan
Link 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 Zhu
Link 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 Chen
Link 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 Weston
Link 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 Li
Link 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 Li
Link 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 Deng
Link 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 Weston
Link 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 Jurafsky
Link https://arxiv.org/abs/1611.08562
Tags Diverse
13 Coherent Dialogue with Attention-based Language Models
Authors Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Link 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 Pineau
Link 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 Zhou
Link 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 Zhang
Link 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 Young
Link 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 Zhang
Link 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 Yang
Link 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 Young
Link 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 Lane
Link 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 Deng
Link 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 Jurčíček
Link 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 Jin
Link https://arxiv.org/abs/1607.00970
Tags Seq2Seq; Short-Text