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NeuralREG: An end-to-end approach to referring expression generation

NeuralREG: An end-to-end approach to referring expression generation

21 May 2018
Thiago Castro Ferreira
Diego Moussallem
Ákos Kádár
Sander Wubben
Emiel Krahmer
    3DV
ArXiv (abs)PDFHTML

Papers citing "NeuralREG: An end-to-end approach to referring expression generation"

16 / 16 papers shown
Intrinsic Task-based Evaluation for Referring Expression Generation
Intrinsic Task-based Evaluation for Referring Expression GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Guanyi Chen
F. Same
Kees van Deemter
178
2
0
12 Feb 2024
Models of reference production: How do they withstand the test of time?
Models of reference production: How do they withstand the test of time?International Conference on Natural Language Generation (INLG), 2023
F. Same
Guanyi Chen
Kees van Deemter
134
5
0
27 Jul 2023
Assessing Neural Referential Form Selectors on a Realistic Multilingual
  Dataset
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset
Guanyi Chen
F. Same
Kees van Deemter
244
0
0
10 Oct 2022
Innovations in Neural Data-to-text Generation: A Survey
Innovations in Neural Data-to-text Generation: A Survey
Mandar Sharma
Ajay K. Gogineni
Naren Ramakrishnan
359
12
0
25 Jul 2022
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression
  Generation Systems
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation SystemsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
F. Same
Guanyi Chen
Kees van Deemter
181
13
0
15 Mar 2022
What can Neural Referential Form Selectors Learn?
What can Neural Referential Form Selectors Learn?
Guanyi Chen
F. Same
Kees van Deemter
201
6
0
15 Aug 2021
Changing the Narrative Perspective: From Deictic to Anaphoric Point of
  View
Changing the Narrative Perspective: From Deictic to Anaphoric Point of ViewInformation Processing & Management (IPM), 2021
Mike Chen
Razvan Bunescu
173
7
0
06 Mar 2021
Lessons from Computational Modelling of Reference Production in Mandarin
  and English
Lessons from Computational Modelling of Reference Production in Mandarin and EnglishInternational Conference on Natural Language Generation (INLG), 2020
Guanyi Chen
Kees van Deemter
221
5
0
14 Nov 2020
Knowledge Graphs for Multilingual Language Translation and Generation
Knowledge Graphs for Multilingual Language Translation and Generation
Diego Moussallem
135
1
0
16 Sep 2020
A Formal Analysis of Multimodal Referring Strategies Under Common Ground
A Formal Analysis of Multimodal Referring Strategies Under Common GroundInternational Conference on Language Resources and Evaluation (LREC), 2020
Nikhil Krishnaswamy
James Pustejovsky
142
11
0
16 Mar 2020
Improving Quality and Efficiency in Plan-based Neural Data-to-Text
  Generation
Improving Quality and Efficiency in Plan-based Neural Data-to-Text GenerationInternational Conference on Natural Language Generation (INLG), 2019
Amit Moryossef
Ido Dagan
Yoav Goldberg
117
18
0
22 Sep 2019
Referring Expression Generation Using Entity Profiles
Referring Expression Generation Using Entity ProfilesConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Mengyao Cao
Jackie C.K. Cheung
261
16
0
04 Sep 2019
Neural data-to-text generation: A comparison between pipeline and
  end-to-end architectures
Neural data-to-text generation: A comparison between pipeline and end-to-end architecturesConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Thiago Castro Ferreira
Chris van der Lee
Emiel van Miltenburg
Emiel Krahmer
292
149
0
23 Aug 2019
Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions
  from Facts
Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts
Rajarshi Bhowmik
Gerard de Melo
98
4
0
16 Apr 2019
Step-by-Step: Separating Planning from Realization in Neural
  Data-to-Text Generation
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation
Amit Moryossef
Yoav Goldberg
Ido Dagan
276
196
0
06 Apr 2019
BENGAL: An Automatic Benchmark Generator for Entity Recognition and
  Linking
BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking
A. N. Ngomo
Michael Röder
Diego Moussallem
Ricardo Usbeck
René Speck
295
3
0
24 Oct 2017
1
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