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Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation
Thiago Castro Ferreira
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Iacer Calixto
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Sander Wubben
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Emiel Krahmer
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Paper Details:
Month: September
Year: 2017
Location: Santiago de Compostela, Spain
Venue:
INLG |
WS |
SIG: SIGGEN
Citations
URL
NeuralREG: An end-to-end approach to referring expression generation
Thiago Castro Ferreira
|
Diego Moussallem
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Ákos Kádár
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Sander Wubben
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Emiel Krahmer
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Surface Realization Shared Task 2018 (SR18): The Tilburg University Approach
Thiago Castro Ferreira
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Sander Wubben
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Emiel Krahmer
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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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End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann
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Falcon Dai
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Henry Elder
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Alexander Rush
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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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https://github.com/ThiagoCF05/LinearAMR
http://github.com/jflanigan/jamr/tree/
http://isi.edu/
Field Of Study
Linguistic Trends
Embeddings
Morphology
Task
Semantic Parsing
Information Extraction
Language Generation
Machine Translation
Text Simplification
Approach
Deep Learning
Language
English
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