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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 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

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
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