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  Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders

Hong, X., Chang, E., & Demberg, V. (2019). Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders. In S. Mille, A. Belz, B. Bohnet, Y. Graham, & L. Wanner (Eds.), Multilingual Surface Realisation (pp. 75-80). Stroudsburg, PA: ACL. doi:10.18653/v1/D19-6310.

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 Creators:
Hong, Xudong1, Author           
Chang, Ernie2, Author
Demberg, Vera2, Author
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: hong2019improving
DOI: 10.18653/v1/D19-6310
 Degree: -

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Title: 2nd Workshop on Multilingual Surface Realisation
Place of Event: Hong Kong, China
Start-/End Date: 2019-11-03 - 2019-11-03

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Title: Multilingual Surface Realisation
  Abbreviation : MSR 2019
  Subtitle : Proceedings of the Second Workshop
Source Genre: Proceedings
 Creator(s):
Mille, Simon1, Editor
Belz, Anja1, Editor
Bohnet, Bernd1, Editor
Graham, Yvette1, Editor
Wanner, Leo1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Stroudsburg, PA : ACL
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 75 - 80 Identifier: ISBN: 978-1-950737-76-5