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A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing
Andreas Vlachos
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Stephen Clark
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Paper Details:
Year: 2014
Venue:
TACL |
Citations
URL
Imitation learning for language generation from unaligned data
Gerasimos Lampouras
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Andreas Vlachos
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Alignment-Based Compositional Semantics for Instruction Following
Jacob Andreas
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Dan Klein
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A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap
Carolin Haas
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Stefan Riezler
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Natural Language to Structured Query Generation via Meta-Learning
Po-Sen Huang
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Chenglong Wang
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Rishabh Singh
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Wen-tau Yih
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Xiaodong He
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Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing
James Goodman
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Andreas Vlachos
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Jason Naradowsky
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Simpler Context-Dependent Logical Forms via Model Projections
Reginald Long
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Panupong Pasupat
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Percy Liang
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Neural Belief Tracker: Data-Driven Dialogue State Tracking
Nikola Mrkšić
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Diarmuid Ó Séaghdha
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Tsung-Hsien Wen
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Blaise Thomson
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Steve Young
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Distilling Knowledge for Search-based Structured Prediction
Yijia Liu
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Wanxiang Che
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Huaipeng Zhao
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Bing Qin
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Ting Liu
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UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound
James Goodman
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Andreas Vlachos
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Jason Naradowsky
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Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks
Mrinmaya Sachan
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Eric Xing
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http://sites.google.com/
http://sites.google.com/
Field Of Study
Linguistic Trends
Discourse
Syntax
Task
Tagging
Semantic Parsing
Machine Translation
Biomedical
Approach
Structured Prediction
Language
Japanese
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