Findings of the third workshop on neural generation and translation

Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew Finch, Minh Thang Luong, Graham Neubig, Katsuhito Sudoh*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 3rd Workshop on Neural Generation and Translation
PublisherAssociation for Computational Linguistics
Pages1-14
Number of pages14
ISBN (Electronic)9781950737833
DOIs
Publication statusPublished - Nov 2019
Event3rd Workshop on Neural Generation and Translation 2019 - Hong Kong, China
Duration: 4 Nov 2019 → …

Workshop

Workshop3rd Workshop on Neural Generation and Translation 2019
Abbreviated titleEMNLP-IJCNLP 2019
Country/TerritoryChina
CityHong Kong
Period4/11/19 → …

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems
  • Computer Science Applications

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