Fetching the paper…
Reading the bibliography…
This paper summarises the experimental setup and results of the first shared task on end-to-end (E2E) natural language generation (NLG) in spoken dialogue systems.
Building Natural Language Generation Systems , studies in natural language processing edition
E. Reiter and R. Dale. 2000 · 2000
Earlier work this paper cites.
TrueSkill TM : a Bayesian skill rating system
Ralf Herbrich, Tom Minka, and Thore Graepel. 2006 · 2006
Earlier work this paper cites.
The attribute selection for GRE challenge: Overview and evaluation results
Anja Belz and Albert Gatt. 2007 · 2007
Earlier work this paper cites.
Learning to sportscast: A test of grounded language acquisition
David L. Chen and Raymond J. Mooney. 2008 · 2008
Earlier work this paper cites.
Phrase-based statistical language generation using graphical models and active learning
François Mairesse, Milica Gašić, Filip Jurčíček, Simon Keizer, Blaise Thomson, Kai Yu, and Steve Young. 2010 · 2010
Earlier work this paper cites.
Machine translation evaluation versus quality estimation
Lucia Specia, Dhwaj Raj, and Marco Turchi. 2010 · 2010
Earlier work this paper cites.
Findings of WMT
Ondřej Bojar, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia. 2013 · 2013
Earlier work this paper cites.
Findings of the 2014 Workshop on Statistical Machine Translation
Ondřej Bojar, Christian Buck, Christian Federmann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, and Aleš Tamchyna. 2014 · 2014
Earlier work this paper cites.
Efficient elicitation of annotations for human evaluation of machine translation
Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2014 · 2014
Earlier work this paper cites.
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollar, and C. Lawrence Zitnick. 2015 · 2015
Earlier work this paper cites.
Training a natural language generator from unaligned data
Ondřej Dušek and Filip Jurčíček. 2015 · 2015
Earlier work this paper cites.
A Context-aware Natural Language Generator for Dialogue Systems
Ondřej Dušek and Filip Jurčíček. 2016 · 2016
Earlier work this paper cites.
Imitation learning for language generation from unaligned data
Gerasimos Lampouras and Andreas Vlachos. 2016 · 2016
Earlier work this paper cites.
What to talk about and how? Selective generation using LSTMs with coarse-to-fine alignment
Hongyuan Mei, Mohit Bansal, and Matthew R. Walter. 2016 · 2016
Earlier work this paper cites.
Crowd-sourcing NLG data: Pictures elicit better data
Jekaterina Novikova, Oliver Lemon, and Verena Rieser. 2016 · 2016
Cited alongside, same era.
Natural language generation in dialogue using lexicalized and delexicalized data
Shikhar Sharma, Jing He, Kaheer Suleman, Hannes Schulz, and Philip Bachman. 2016 · 2016
Cited alongside, same era.
Multi-domain neural network language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, Lina Maria Rojas-Barahona, Pei-hao Su, David Vandyke, and Steve J. Young. 2016 · 2016
Cited alongside, same era.
Findings of the 2017 conference on machine translation (WMT17)
Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Shujian Huang, Matthias Huck, Philipp Koehn, Qun Liu, Varvara Logacheva, et al. 2017a · 2017
Cited alongside, same era.
Referenceless Quality Estimation for Natural Language Generation
The E2E NLG Challenge
Ondřej Dušek, Jekaterina Novikova, and Verena Rieser. 2018 · 2018
Closest in time.
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language
Henry Elder, Sebastian Gehrmann, Alexander O’Connor, and Qun Liu. 2018 · 2018
Closest in time.
Albert Gatt and Emiel Krahmer. 2018 · 2018
Closest in time.
End-to-End Content and Plan Selection for Natural Language Generation
Sebastian Gehrmann, Falcon Z. Dai, Henry Elder, and Alexander M. Rush. 2018 · 2018
Closest in time.
Technical Report for E2E NLG Challenge
Heng Gong. 2018 · 2018
Closest in time.
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ondřej Dušek, Jekaterina Novikova, and Verena Rieser. 2017 · 2017
Cited alongside, same era.
The WebNLG Challenge: Generating text from RDF data
Claire Gardent, Anastasia Shimorina, Shashi Narayan, and Laura Perez-Beltrachini. 2017 · 2017
Cited alongside, same era.
FORGe at E2E 2017
Simon Mille and Stamatia Dasiopoulou. 2018 · 2017
Cited alongside, same era.
Ethical considerations in NLP shared tasks
Carla Parra Escartín, Wessel Reijers, Teresa Lynn, Joss Moorkens, Andy Way, and Chao-Hong Liu. 2017 · 2017
Cited alongside, same era.
Challenges in data-to-document generation
Sam Wiseman, Stuart M. Shieber, and Alexander M. Rush. 2017 · 2017
Cited alongside, same era.
Char2char generation with reranking for the E2E NLG Challenge
Shubham Agarwal, Marc Dymetman, and Éric Gaussier. 2018 · 2018
Cited alongside, same era.
Sheffield at E2E: structured prediction approaches to end-to-end language generation
Mingje Chen, Gerasimos Lampouras, and Andreas Vlachos. 2018 · 2018
Cited alongside, same era.
A General Model for Neural Text Generation from Structured Data
Shuang Chen. 2018 · 2018
Cited alongside, same era.
Juraj Juraska, Panagiotis Karagiannis, Kevin K. Bowden, and Marilyn A. Walker. 2018 · 2018
Closest in time.
Structure-based Generation System for E2E NLG Challenge
Dang Tuan Nguyen and Trung Tran. 2018 · 2018
Closest in time.
RankME: Reliable Human Ratings for Natural Language Generation
Jekaterina Novikova, Ondřej Dušek, and Verena Rieser. 2018 · 2018
Closest in time.
TNT-NLG, System 1: Using a statistical NLG to massively augment crowd-sourced data for neural generation
Shereen Oraby, Lena Reed, Shubhangi Tandon, Sharath T.S., Stephanie Lukin, and Marilyn Walker. 2018 · 2018
Closest in time.
E2E NLG Challenge: Neural Models vs. Templates
Yevgeniy Puzikov and Iryna Gurevych. 2018 · 2018
Closest in time.
The E2E NLG Challenge: A tale of two systems
Frank Schilder, Charese Smiley, Elnaz Davoodi, and Dezhao Song. 2018 · 2018
Closest in time.
TNT-NLG, System 2: Data repetition and meaning representation manipulation to improve neural generation
Shubhangi Tandon, Sharath T.S., Shereen Oraby, Lena Reed, Stephanie Lukin, and Marilyn Walker. 2018 · 2018
Closest in time.
Attention Regularized Sequence-to-Sequence Learning for E2E NLG Challenge
Biao Zhang, Jing Yang, Qian Lin, and Jinsong Su. 2018 · 2018
Closest in time.