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Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge
Raghav Goyal
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Marc Dymetman
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Eric Gaussier
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
Automatically Generating Rhythmic Verse with Neural Networks
Jack Hopkins
|
Douwe Kiela
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A Walk-based Model on Entity Graphs for Relation Extraction
Fenia Christopoulou
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Makoto Miwa
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Sophia Ananiadou
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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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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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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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https://github.com/vchahun/pyfst
http://www.itl.nist.gov/iad/mig/tests/mt/2009/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Parsing
Language Generation
Machine Translation
Language
English
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