NLPExplorer

Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions

Yoav Artzi | Luke Zettlemoyer |

Paper Details:

Year: 2013

Venue: TACL |

Citations

URL

Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations
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Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing
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Neural Shift-Reduce CCG Semantic Parsing
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Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
Dipendra Misra | John Langford | Yoav Artzi |

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Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
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Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision
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Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
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Learning to Learn Semantic Parsers from Natural Language Supervision
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TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
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Grounding Language by Continuous Observation of Instruction Following
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Probabilistic Models for Learning a Semantic Parser Lexicon
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The Web as a Knowledge-Base for Answering Complex Questions
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A Meaning-Based Statistical English Math Word Problem Solver
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Unified Pragmatic Models for Generating and Following Instructions
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An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols
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Environment-Driven Lexicon Induction for High-Level Instructions
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Data Recombination for Neural Semantic Parsing
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Incremental Acquisition of Verb Hypothesis Space towards Physical World Interaction
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Sentence Rewriting for Semantic Parsing
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Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings
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Simpler Context-Dependent Logical Forms via Model Projections
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Learning Language Games through Interaction
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The State of the Art in Semantic Representation
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A Syntactic Neural Model for General-Purpose Code Generation
Pengcheng Yin | Graham Neubig |

Naturalizing a Programming Language via Interactive Learning
Sida I. Wang | Samuel Ginn | Percy Liang | Christopher D. Manning |

From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Kelvin Guu | Panupong Pasupat | Evan Liu | Percy Liang |

Interactive Learning of Grounded Verb Semantics towards Human-Robot Communication
Lanbo She | Joyce Chai |

Neural Semantic Parsing over Multiple Knowledge-bases
Jonathan Herzig | Jonathan Berant |

Coarse-to-Fine Decoding for Neural Semantic Parsing
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Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing
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Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
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Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation
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Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning
Minh-Thang Luong | Michael C. Frank | Mark Johnson |

Large-scale Semantic Parsing without Question-Answer Pairs
Siva Reddy | Mirella Lapata | Mark Steedman |

Learning to Make Inferences in a Semantic Parsing Task
Kyle Richardson | Jonas Kuhn |

Representation Learning for Grounded Spatial Reasoning
Michael Janner | Karthik Narasimhan | Regina Barzilay |

Semantic Parsing via l0-norm-based Alignment-norm-based Alignment
Zhihua Liao | Qixian Zeng | Qiyun Wang |

A Supervised Semantic Parsing with Lexicon Extension and Syntactic Constraint
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A Statistical Machine Translation Model with Forest-to-Tree Algorithm for Semantic Parsing
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Grounding Language with Points and Paths in Continuous Spaces
Jacob Andreas | Dan Klein |

Semantic Parsing for Text to 3D Scene Generation
Angel Chang | Manolis Savva | Christopher Manning |

A Deep Architecture for Semantic Parsing
Edward Grefenstette | Phil Blunsom | Nando de Freitas | Karl Moritz Hermann |

Cooking with Semantics
Jonathan Malmaud | Earl Wagner | Nancy Chang | Kevin Murphy |

From Treebank Parses to Episodic Logic and Commonsense Inference
Lenhart Schubert |

Intermediary Semantic Representation through Proposition Structures
Gabriel Stanovsky | Jessica Ficler | Ido Dagan | Yoav Goldberg |

Towards Surface Realization with CCGs Induced from Dependencies
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Inducing Clause-Combining Rules: A Case Study with the SPaRKy Restaurant Corpus
Michael White | David M. Howcroft |

Using Language Groundings for Context-Sensitive Text Prediction
Timothy Lewis | Cynthia Matuszek | Amy Hurst | Matthew Taylor |

Enhancing PTB Universal Dependencies for Grammar-Based Surface Realization
David L. King | Michael White |

Grounding Language for Interactive Task Learning
Peter Lindes | Aaron Mininger | James R. Kirk | John E. Laird |

From Shakespeare to Twitter: What are Language Styles all about?
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Parsing with Dynamic Continuized CCG
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Evaluation Order Effects in Dynamic Continuized CCG: From Negative Polarity Items to Balanced Punctuation
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No URLs Found

Field Of Study

Linguistic Trends

Event Semantics Syntax

Task

Language Understanding Semantic Parsing

Approach

Graphical Model

Language

English

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