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Semantic Parsing with Semi-Supervised Sequential Autoencoders
Tomáš Kočiský
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Gábor Melis
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Edward Grefenstette
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Chris Dyer
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Wang Ling
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Phil Blunsom
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Karl Moritz Hermann
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
Yuchen Zhang
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Panupong Pasupat
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Percy Liang
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Semi-supervised Structured Prediction with Neural CRF Autoencoder
Xiao Zhang
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Yong Jiang
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Hao Peng
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Kewei Tu
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Dan Goldwasser
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Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement
Cheng Yang
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Maosong Sun
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Xiaoyuan Yi
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Wenhao Li
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Multilingual Semantic Parsing And Code-Switching
Long Duong
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Hadi Afshar
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Dominique Estival
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Glen Pink
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Philip Cohen
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Mark Johnson
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Morphological Inflection Generation with Multi-space Variational Encoder-Decoders
Chunting Zhou
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Graham Neubig
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Weakly-Supervised Neural Semantic Parsing with a Generative Ranker
Jianpeng Cheng
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Mirella Lapata
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Polyglot Semantic Parsing in APIs
Kyle Richardson
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Jonathan Berant
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Jonas Kuhn
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Learning Structured Natural Language Representations for Semantic Parsing
Jianpeng Cheng
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Siva Reddy
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Vijay Saraswat
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Mirella Lapata
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Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction
Chunting Zhou
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Graham Neubig
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A Syntactic Neural Model for General-Purpose Code Generation
Pengcheng Yin
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Graham Neubig
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Neural Architectures for Multilingual Semantic Parsing
Raymond Hendy Susanto
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Wei Lu
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Coarse-to-Fine Decoding for Neural Semantic Parsing
Li Dong
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Mirella Lapata
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Confidence Modeling for Neural Semantic Parsing
Li Dong
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Chris Quirk
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Mirella Lapata
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StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Pengcheng Yin
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Chunting Zhou
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Junxian He
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Graham Neubig
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Active learning for deep semantic parsing
Long Duong
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Hadi Afshar
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Dominique Estival
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Glen Pink
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Philip Cohen
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Mark Johnson
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http://deepmind.com/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Parsing
Machine Translation
Approach
Semi-supervised Learning
Language
Multilingual
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