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Steering Output Style and Topic in Neural Response Generation
Di Wang
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Nebojsa Jojic
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Chris Brockett
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Eric Nyberg
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
Ashutosh Baheti
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Alan Ritter
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Jiwei Li
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Bill Dolan
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Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity
Xinnuo Xu
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Ondřej Dušek
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Ioannis Konstas
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Verena Rieser
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NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation
Xiaoyu Shen
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Hui Su
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Wenjie Li
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Dietrich Klakow
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Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
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John Wieting
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Kevin Gimpel
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Luke Zettlemoyer
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A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text
Shashank Srivastava
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Nebojsa Jojic
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Unsupervised Learning of Style-sensitive Word Vectors
Reina Akama
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Kento Watanabe
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Sho Yokoi
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Sosuke Kobayashi
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Kentaro Inui
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Polite Dialogue Generation Without Parallel Data
Tong Niu
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Mohit Bansal
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Towards Controllable Story Generation
Nanyun Peng
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Marjan Ghazvininejad
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Jonathan May
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Kevin Knight
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Stylistically User-Specific Generation
Abdurrisyad Fikri
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Hiroya Takamura
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Manabu Okumura
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http://webscope.sandbox.yahoo.com/
http://www.presidency.ucsb.edu/
https://lucene.apache.org/solr/
https://github.com/digo/
Field Of Study
Task
Information Retrieval
Language Generation
Summarization
Machine Translation
Approach
Topic Modeling
Deep Learning
Language
English
Dataset
Social Media
Twitter
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