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Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
Joohyun Kim
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Raymond Mooney
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Paper Details:
Month: August
Year: 2010
Location: Beijing, China
Venue:
COLING |
Citations
URL
Grammar induction from (lots of) words alone
John K Pate
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Mark Johnson
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Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision
Joohyun Kim
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Raymond Mooney
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Inducing Document Plans for Concept-to-Text Generation
Ioannis Konstas
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Mirella Lapata
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Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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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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Challenges in Data-to-Document Generation
Sam Wiseman
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Stuart Shieber
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Alexander Rush
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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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Grounding Language by Continuous Observation of Instruction Following
Ting Han
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David Schlangen
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Unsupervised Concept-to-text Generation with Hypergraphs
Ioannis Konstas
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Mirella Lapata
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What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei
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Mohit Bansal
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Matthew R. Walter
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Bootstrapping Generators from Noisy Data
Laura Perez-Beltrachini
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Mirella Lapata
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Fast Online Lexicon Learning for Grounded Language Acquisition
David Chen
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Grounded Unsupervised Semantic Parsing
Hoifung Poon
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Leveraging Domain-Independent Information in Semantic Parsing
Dan Goldwasser
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Dan Roth
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Surface Realisation from Knowledge-Bases
Bikash Gyawali
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Claire Gardent
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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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Automatic Tweet Generation From Traffic Incident Data
Khoa Tran
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Fred Popowich
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No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Semantic Parsing
Language Generation
Machine Translation
Approach
Generative Model
Language
English
Korean
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