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FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers
Simon Mille
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Roberto Carlini
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Alicia Burga
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Leo Wanner
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Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
Venue:
*SEMEVAL |
Citations
URL
GenDR: A Generic Deep Realizer with Complex Lexicalization
François Lareau
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Florie Lambrey
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Ieva Dubinskaite
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Daniel Galarreta-Piquette
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Maryam Nejat
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A Graph-to-Sequence Model for AMR-to-Text Generation
Linfeng Song
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Yue Zhang
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Zhiguo Wang
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Daniel Gildea
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SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation
Jonathan May
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Jay Priyadarshi
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The WebNLG Challenge: Generating Text from RDF Data
Claire Gardent
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Anastasia Shimorina
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Shashi Narayan
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Laura Perez-Beltrachini
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A demo of FORGe: the Pompeu Fabra Open Rule-based Generator
Simon Mille
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Leo Wanner
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https://www.upf.edu/web/taln/
Field Of Study
Task
Tagging
Language
English
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