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Neural Text Generation from Structured Data with Application to the Biography Domain
Rémi Lebret
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David Grangier
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Michael Auli
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy Mechanism
Liunian Li
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Xiaojun Wan
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Challenges in Data-to-Document Generation
Sam Wiseman
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Stuart Shieber
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Alexander Rush
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Learning Neural Templates for Text Generation
Sam Wiseman
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Stuart Shieber
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Alexander Rush
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Operation-guided Neural Networks for High Fidelity Data-To-Text Generation
Feng Nie
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Jinpeng Wang
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Jin-Ge Yao
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Rong Pan
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Chin-Yew Lin
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Unsupervised Natural Language Generation with Denoising Autoencoders
Markus Freitag
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Scott Roy
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Learning to Describe Differences Between Pairs of Similar Images
Harsh Jhamtani
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Taylor Berg-Kirkpatrick
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Data2Text Studio: Automated Text Generation from Structured Data
Longxu Dou
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Guanghui Qin
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Jinpeng Wang
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Jin-Ge Yao
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Chin-Yew Lin
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Learning to generate one-sentence biographies from Wikidata
Andrew Chisholm
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Will Radford
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Ben Hachey
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A Statistical Framework for Product Description Generation
Jinpeng Wang
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Yutai Hou
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Jing Liu
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Yunbo Cao
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Chin-Yew Lin
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Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
Hady Elsahar
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Christophe Gravier
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Frederique Laforest
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Bootstrapping Generators from Noisy Data
Laura Perez-Beltrachini
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Mirella Lapata
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What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis
Philip John Gorinski
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Mirella Lapata
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A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization
Parag Jain
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Anirban Laha
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Karthik Sankaranarayanan
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Preksha Nema
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Mitesh M. Khapra
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Shreyas Shetty
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Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata
Lucie-Aimée Kaffee
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Hady Elsahar
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Pavlos Vougiouklis
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Christophe Gravier
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Frédérique Laforest
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Jonathon Hare
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Elena Simperl
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Creating Training Corpora for NLG Micro-Planners
Claire Gardent
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Anastasia Shimorina
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Shashi Narayan
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Laura Perez-Beltrachini
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Learning to Generate Market Comments from Stock Prices
Soichiro Murakami
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Akihiko Watanabe
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Akira Miyazawa
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Keiichi Goshima
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Toshihiko Yanase
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Hiroya Takamura
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Yusuke Miyao
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Analysing Data-To-Text Generation Benchmarks
Laura Perez-Beltrachini
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Claire Gardent
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Controlling Linguistic Style Aspects in Neural Language Generation
Jessica Ficler
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Yoav Goldberg
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Deep Graph Convolutional Encoders for Structured Data to Text Generation
Diego Marcheggiani
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Laura Perez-Beltrachini
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Describing a Knowledge Base
Qingyun Wang
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Xiaoman Pan
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Lifu Huang
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Boliang Zhang
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Zhiying Jiang
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Heng Ji
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Kevin Knight
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Generating Market Comments Referring to External Resources
Tatsuya Aoki
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Akira Miyazawa
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Tatsuya Ishigaki
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Keiichi Goshima
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Kasumi Aoki
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Ichiro Kobayashi
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Hiroya Takamura
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Yusuke Miyao
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Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation
Raheel Qader
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Khoder Jneid
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François Portet
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Cyril Labbé
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https://en.wikipedia.org/wiki/
https://github.com/DavidGrangier/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Parsing
Language Generation
Machine Translation
Biomedical
Language
Multilingual
English
Dataset
Biographies
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