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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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Paper Details:
Month: September
Year: 2017
Location: Santiago de Compostela, Spain
Venue:
INLG |
WS |
SIG: SIGGEN
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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Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models
Henry Elder
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Chris Hokamp
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Deep Graph Convolutional Encoders for Structured Data to Text Generation
Diego Marcheggiani
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Laura Perez-Beltrachini
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Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods
Chris van der Lee
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Emiel Krahmer
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Sander Wubben
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Enriching the WebNLG corpus
Thiago Castro Ferreira
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Diego Moussallem
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Emiel Krahmer
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Sander Wubben
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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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Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem
Alexander Shvets
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Simon Mille
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Leo Wanner
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Handling Rare Items in Data-to-Text Generation
Anastasia Shimorina
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Claire Gardent
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Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning
David M. Howcroft
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Dietrich Klakow
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Vera Demberg
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E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language
Henry Elder
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Sebastian Gehrmann
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Alexander O’Connor
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Qun Liu
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http://talc1.loria.fr/webnlg/stories/
https://github.com/moses-smt/
http://www.cs.cmu.edu/
http://www.cs.umd.edu/
http://talc1.loria.fr/webnlg/stories/
Field Of Study
Linguistic Trends
Discourse
Task
Language Generation
Machine Translation
Language
English
French
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