Shape of synth to come: Why we should use synthetic data for English
surface realization

Shape of synth to come: Why we should use synthetic data for English surface realization

6 May 2020

Alexander O’Connor

Jennifer Foster

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Papers citing "Shape of synth to come: Why we should use synthetic data for English surface realization"

15 / 15 papers shown

Title
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures Thiago Castro Ferreira Chris van der Lee Emiel van Miltenburg Emiel Krahmer 85 143 0 23 Aug 2019
Designing a Symbolic Intermediate Representation for Neural Surface Realization H. Elder Jennifer Foster James Barry Alexander O’Connor 50 13 0 24 May 2019
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation Amit Moryossef Yoav Goldberg Ido Dagan 55 184 0 06 Apr 2019
compare-mt: A Tool for Holistic Comparison of Language Generation Systems Graham Neubig Zi-Yi Dou Junjie Hu Paul Michel Danish Pruthi Xinyi Wang John Wieting ELM 67 116 0 19 Mar 2019
Universal Dependency Parsing from Scratch Peng Qi Timothy Dozat Yuhao Zhang Christopher D. Manning 78 270 0 29 Jan 2019
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models H. Elder Chris Hokamp 26 19 0 20 May 2018
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation Juraj Juraska P. Karagiannis Kevin K. Bowden M. Walker 80 88 0 16 May 2018
A Graph-to-Sequence Model for AMR-to-Text Generation Linfeng Song Yue Zhang Zhiguo Wang D. Gildea GNN AIMat 98 254 0 07 May 2018
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation Ioannis Konstas Srini Iyer Mark Yatskar Yejin Choi Luke Zettlemoyer AIMat 47 304 0 26 Apr 2017
Get To The Point: Summarization with Pointer-Generator Networks A. See Peter J. Liu Christopher D. Manning 3DPC 306 4,025 0 14 Apr 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 330 1,900 0 10 Jan 2017
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 328 2,895 0 26 Sep 2016
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 347 3,551 0 10 Jun 2015
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 121 3,059 0 09 Jun 2015
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai R. Socher Christopher D. Manning AIMat 142 3,122 0 28 Feb 2015

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