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Using Semantic Unification to Generate Regular Expressions from Natural Language
Nate Kushman
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Regina Barzilay
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
NAACL |
Citations
URL
Semantic Parsing on Freebase from Question-Answer Pairs
Jonathan Berant
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Andrew Chou
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Roy Frostig
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Percy Liang
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Scaling Semantic Parsers with On-the-Fly Ontology Matching
Tom Kwiatkowski
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Eunsol Choi
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Yoav Artzi
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Luke Zettlemoyer
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Learning to Solve Arithmetic Word Problems with Verb Categorization
Mohammad Javad Hosseini
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Hannaneh Hajishirzi
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Oren Etzioni
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Nate Kushman
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Learning Compact Lexicons for CCG Semantic Parsing
Yoav Artzi
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Dipanjan Das
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Slav Petrov
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Neural Shift-Reduce CCG Semantic Parsing
Dipendra Kumar Misra
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Yoav Artzi
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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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Retrieval-Based Neural Code Generation
Shirley Anugrah Hayati
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Raphael Olivier
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Pravalika Avvaru
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Pengcheng Yin
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Anthony Tomasic
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Graham Neubig
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SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
Zexuan Zhong
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Jiaqi Guo
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Wei Yang
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Jian Peng
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Tao Xie
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Jian-Guang Lou
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Ting Liu
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Dongmei Zhang
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Mapping Language to Code in Programmatic Context
Srinivasan Iyer
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Ioannis Konstas
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Alvin Cheung
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Luke Zettlemoyer
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NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System
Xi Victoria Lin
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Chenglong Wang
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Luke Zettlemoyer
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Michael D. Ernst
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Learning with Latent Language
Jacob Andreas
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Dan Klein
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Sergey Levine
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Learning to Automatically Solve Algebra Word Problems
Nate Kushman
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Yoav Artzi
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Luke Zettlemoyer
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Regina Barzilay
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A Mapping-Based Approach for General Formal Human Computer Interaction Using Natural Language
Vincent Letard
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Sophie Rosset
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Gabriel Illouz
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Building a Semantic Parser Overnight
Yushi Wang
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Jonathan Berant
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Percy Liang
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Data Recombination for Neural Semantic Parsing
Robin Jia
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Percy Liang
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Latent Predictor Networks for Code Generation
Wang Ling
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Phil Blunsom
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Edward Grefenstette
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Karl Moritz Hermann
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Tomáš Kočiský
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Fumin Wang
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Andrew Senior
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Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings
Fereshte Khani
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Martin Rinard
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Percy Liang
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Summarizing Source Code using a Neural Attention Model
Srinivasan Iyer
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Ioannis Konstas
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Alvin Cheung
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Luke Zettlemoyer
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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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Naturalizing a Programming Language via Interactive Learning
Sida I. Wang
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Samuel Ginn
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Percy Liang
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Christopher D. Manning
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Learning a Neural Semantic Parser from User Feedback
Srinivasan Iyer
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Ioannis Konstas
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Alvin Cheung
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Jayant Krishnamurthy
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Luke Zettlemoyer
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Learning Semantic Correspondences in Technical Documentation
Kyle Richardson
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Jonas Kuhn
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How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing
Abhilasha Ravichander
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Thomas Manzini
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Matthias Grabmair
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Graham Neubig
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Jonathan Francis
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Eric Nyberg
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Natural Language Programing with Automatic Code Generation towards Solving Addition-Subtraction Word Problems
Sourav Mandal
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Sudip Kumar Naskar
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http://groups.csail.mit.edu/rbg/code/regexp/
http://www.brics.dk/automaton/
http://odesk.com/
http://mturk.com/
Field Of Study
Task
Semantic Parsing
Language
Multilingual
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