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Learning a Neural Semantic Parser from User Feedback

Learning a Neural Semantic Parser from User Feedback

27 April 2017
Srini Iyer
Ioannis Konstas
Alvin Cheung
Jayant Krishnamurthy
Luke Zettlemoyer
ArXivPDFHTML

Papers citing "Learning a Neural Semantic Parser from User Feedback"

16 / 16 papers shown
Title
Sigma: A dataset for text-to-code semantic parsing with statistical analysis
Sigma: A dataset for text-to-code semantic parsing with statistical analysis
Saleh Almohaimeed
Shenyang Liu
May Alsofyani
Saad Almohaimeed
Liqiang Wang
96
0
0
05 Apr 2025
TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL
  Generation
TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation
Ningyuan Sun
Xuefeng Yang
Yunfeng Liu
LMTD
56
34
0
10 Jun 2020
Sentence Rewriting for Semantic Parsing
Sentence Rewriting for Semantic Parsing
Bo Chen
Le Sun
Xianpei Han
Bo An
KELM
28
19
0
10 Jan 2019
Equation Parsing: Mapping Sentences to Grounded Equations
Equation Parsing: Mapping Sentences to Grounded Equations
Subhro Roy
Manish Gupta
Jason H. D. Cho
AIMat
44
46
0
28 Sep 2016
Neural Generation of Regular Expressions from Natural Language with
  Minimal Domain Knowledge
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
N. Locascio
Karthik Narasimhan
E. DeLeon
Nate Kushman
Regina Barzilay
NAI
58
86
0
09 Aug 2016
Data Recombination for Neural Semantic Parsing
Data Recombination for Neural Semantic Parsing
Robin Jia
Percy Liang
84
466
0
11 Jun 2016
Learning Language Games through Interaction
Learning Language Games through Interaction
Sida I. Wang
Percy Liang
Christopher D. Manning
56
190
0
08 Jun 2016
Latent Predictor Networks for Code Generation
Latent Predictor Networks for Code Generation
Wang Ling
Edward Grefenstette
Karl Moritz Hermann
Tomás Kociský
A. Senior
Fumin Wang
Phil Blunsom
58
385
0
22 Mar 2016
Language to Logical Form with Neural Attention
Language to Logical Form with Neural Attention
Li Dong
Mirella Lapata
AI4CE
NAI
106
730
0
06 Jan 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
380
7,962
0
17 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
552
27,300
0
01 Sep 2014
Dropout improves Recurrent Neural Networks for Handwriting Recognition
Dropout improves Recurrent Neural Networks for Handwriting Recognition
Vu Pham
Théodore Bluche
Christopher Kermorvant
J. Louradour
108
567
0
05 Nov 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
394
33,521
0
16 Oct 2013
Learning to Map Sentences to Logical Form: Structured Classification
  with Probabilistic Categorial Grammars
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
Luke S. Zettlemoyer
M. Collins
119
974
0
04 Jul 2012
Learning Dependency-Based Compositional Semantics
Learning Dependency-Based Compositional Semantics
Percy Liang
Michael I. Jordan
Dan Klein
CoGe
92
611
0
30 Sep 2011
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