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A surprisingly effective out-of-the-box char2char model on the E2E NLG Challenge dataset
Shubham Agarwal
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Marc Dymetman
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Paper Details:
Month: August
Year: 2017
Location: Saarbrücken, Germany
Venue:
SIGDIAL |
WS |
SIG: SIGDIAL
Citations
URL
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain
Mingming Sun
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Xu Li
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Ping Li
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A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
Juraj Juraska
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Panagiotis Karagiannis
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Kevin Bowden
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Marilyn Walker
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Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity
Glorianna Jagfeld
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Sabrina Jenne
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Ngoc Thang Vu
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Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation
Raheel Qader
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Khoder Jneid
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François Portet
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Cyril Labbé
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Handling Rare Items in Data-to-Text Generation
Anastasia Shimorina
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Claire Gardent
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Char2char Generation with Reranking for the E2E NLG Challenge
Shubham Agarwal
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Marc Dymetman
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Éric Gaussier
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http://www.macs.hw.ac.uk/
https://github.com/google/seq2seq
https://github.com/
https://docs.google.com/spreadsheets/d/
http://karpathy.github.io/2015/
Field Of Study
Linguistic Trends
Embeddings
Task
Language Generation
Language
English
Japanese
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