MSR@EMNLP-IJCNLP

Keyphrases

Publications

2019

Proceedings of the 2nd Workshop on Multilingual Surface Realisation, MSR@EMNLP-IJCNLP 2019, Hong Kong, China, November 3, 2019 MSR@EMNLP-IJCNLP (2019)
Ádám Kovács, Evelin Ács, Judit Ács, András Kornai, Gábor Recski
BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars. MSR@EMNLP-IJCNLP (2019)
William Dyer
DepDist: Surface realization via regex and learned dependency-distance tolerance. MSR@EMNLP-IJCNLP (2019)
Thiago Castro Ferreira, Emiel Krahmer
Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach. MSR@EMNLP-IJCNLP (2019)
Kartikeya Upasani, David King, Jinfeng Rao, Anusha Balakrishnan, Michael White
The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization. MSR@EMNLP-IJCNLP (2019)
Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, Leo Wanner
The Second Multilingual Surface Realisation Shared Task (SR'19): Overview and Evaluation Results. MSR@EMNLP-IJCNLP (2019)
Wenchao Du, Alan W. Black
Learning to Order Graph Elements with Application to Multilingual Surface Realization. MSR@EMNLP-IJCNLP (2019)
Marco Antonio Sobrevilla Cabezudo, Simon Mille, Thiago A. S. Pardo
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations. MSR@EMNLP-IJCNLP (2019)
Alessandro Mazzei, Valerio Basile
The DipInfoUniTo Realizer at SRST'19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization. MSR@EMNLP-IJCNLP (2019)
Guy Lapalme
Realizing Universal Dependencies Structures. MSR@EMNLP-IJCNLP (2019)
Farhood Farahnak, Laya Rafiee, Leila Kosseim, Thomas Fevens
The Concordia NLG Surface Realizer at SRST 2019. MSR@EMNLP-IJCNLP (2019)
Xiang Yu, Agnieszka Falenska, Marina Haid, Ngoc Thang Vu, Jonas Kuhn
IMSurReal: IMS at the Surface Realization Shared Task 2019. MSR@EMNLP-IJCNLP (2019)
Anastasia Shimorina, Claire Gardent
LORIA / Lorraine University at Multilingual Surface Realisation 2019. MSR@EMNLP-IJCNLP (2019)
Xudong Hong, Ernie Chang, Vera Demberg
Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders. MSR@EMNLP-IJCNLP (2019)