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Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Tiancheng Zhao
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Ran Zhao
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Maxine Eskenazi
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Dialogue-act-driven Conversation Model : An Experimental Study
Harshit Kumar
|
Arvind Agarwal
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Sachindra Joshi
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A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta
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Aliaksei Severyn
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Erhardt Barth
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Decoupling Strategy and Generation in Negotiation Dialogues
He He
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Derek Chen
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Anusha Balakrishnan
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Percy Liang
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Variational Autoregressive Decoder for Neural Response Generation
Jiachen Du
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Wenjie Li
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Yulan He
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Ruifeng Xu
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Lidong Bing
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Xuan Wang
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Hierarchical CVAE for Fine-Grained Hate Speech Classification
Jing Qian
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Mai ElSherief
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Elizabeth Belding
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William Yang Wang
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Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training
Juntao Li
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Yan Song
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Haisong Zhang
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Dongmin Chen
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Shuming Shi
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Dongyan Zhao
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Rui Yan
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Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner
Yury Zemlyanskiy
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Fei Sha
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A Hierarchical Latent Structure for Variational Conversation Modeling
Yookoon Park
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Jaemin Cho
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Gunhee Kim
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Modeling Situations in Neural Chat Bots
Shoetsu Sato
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Naoki Yoshinaga
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Masashi Toyoda
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Masaru Kitsuregawa
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MojiTalk: Generating Emotional Responses at Scale
Xianda Zhou
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William Yang Wang
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Generating Informative Responses with Controlled Sentence Function
Pei Ke
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Jian Guan
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Minlie Huang
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Xiaoyan Zhu
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Polite Dialogue Generation Without Parallel Data
Tong Niu
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Mohit Bansal
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Estimating User Interest from Open-Domain Dialogue
Michimasa Inaba
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Kenichi Takahashi
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https://doi.org/10.18653/v1/P17-1061
https://doi.org/10.18653/v1/P17-1061
Field Of Study
Linguistic Trends
Discourse
Pragmatics
Embeddings
Formal Semantics
Task
Tagging
Information Retrieval
Machine Translation
Approach
Human Computation
Generative Model
Graphical Model
Dataset
Spoken Dialog
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