@inproceedings{hayashi-etal-2019-findings,
title = "Findings of the Third Workshop on Neural Generation and Translation",
author = "Hayashi, Hiroaki and
Oda, Yusuke and
Birch, Alexandra and
Konstas, Ioannis and
Finch, Andrew and
Luong, Minh-Thang and
Neubig, Graham and
Sudoh, Katsuhito",
editor = "Birch, Alexandra and
Finch, Andrew and
Hayashi, Hiroaki and
Konstas, Ioannis and
Luong, Thang and
Neubig, Graham and
Oda, Yusuke and
Sudoh, Katsuhito",
booktitle = "Proceedings of the 3rd Workshop on Neural Generation and Translation",
month = nov,
year = "2019",
address = "Hong Kong",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-5601",
doi = "10.18653/v1/D19-5601",
pages = "1--14",
abstract = "This document describes the findings of the Third Workshop on Neural Generation and Translation, held in concert with the annual conference of the Empirical Methods in Natural Language Processing (EMNLP 2019). First, we summarize the research trends of papers presented in the proceedings. Second, we describe the results of the two shared tasks 1) efficient neural machine translation (NMT) where participants were tasked with creating NMT systems that are both accurate and efficient, and 2) document generation and translation (DGT) where participants were tasked with developing systems that generate summaries from structured data, potentially with assistance from text in another language.",
}
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%0 Conference Proceedings
%T Findings of the Third Workshop on Neural Generation and Translation
%A Hayashi, Hiroaki
%A Oda, Yusuke
%A Birch, Alexandra
%A Konstas, Ioannis
%A Finch, Andrew
%A Luong, Minh-Thang
%A Neubig, Graham
%A Sudoh, Katsuhito
%Y Birch, Alexandra
%Y Finch, Andrew
%Y Hayashi, Hiroaki
%Y Konstas, Ioannis
%Y Luong, Thang
%Y Neubig, Graham
%Y Oda, Yusuke
%Y Sudoh, Katsuhito
%S Proceedings of the 3rd Workshop on Neural Generation and Translation
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong
%F hayashi-etal-2019-findings
%X This document describes the findings of the Third Workshop on Neural Generation and Translation, held in concert with the annual conference of the Empirical Methods in Natural Language Processing (EMNLP 2019). First, we summarize the research trends of papers presented in the proceedings. Second, we describe the results of the two shared tasks 1) efficient neural machine translation (NMT) where participants were tasked with creating NMT systems that are both accurate and efficient, and 2) document generation and translation (DGT) where participants were tasked with developing systems that generate summaries from structured data, potentially with assistance from text in another language.
%R 10.18653/v1/D19-5601
%U https://aclanthology.org/D19-5601
%U https://doi.org/10.18653/v1/D19-5601
%P 1-14
Markdown (Informal)
[Findings of the Third Workshop on Neural Generation and Translation](https://aclanthology.org/D19-5601) (Hayashi et al., NGT 2019)
ACL
- Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew Finch, Minh-Thang Luong, Graham Neubig, and Katsuhito Sudoh. 2019. Findings of the Third Workshop on Neural Generation and Translation. In Proceedings of the 3rd Workshop on Neural Generation and Translation, pages 1–14, Hong Kong. Association for Computational Linguistics.