NLPExplorer

A Bayesian Model of Grounded Color Semantics

Brian McMahan | Matthew Stone |

Paper Details:

Year: 2015

Venue: TACL |

Citations

URL

Alignment-Based Compositional Semantics for Instruction Following
Jacob Andreas | Dan Klein |

Numerically Grounded Language Models for Semantic Error Correction
Georgios Spithourakis | Isabelle Augenstein | Sebastian Riedel |

Character Sequence Models for Colorful Words
Kazuya Kawakami | Chris Dyer | Bryan Routledge | Noah A. Smith |

Learning to Generate Compositional Color Descriptions
Will Monroe | Noah D. Goodman | Christopher Potts |

Translating Neuralese
Jacob Andreas | Anca Dragan | Dan Klein |

‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions
Olivia Winn | Smaranda Muresan |

Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding
Will Monroe | Robert X.D. Hawkins | Noah D. Goodman | Christopher Potts |

Functional Distributional Semantics
Guy Emerson | Ann Copestake |

KILLE: a Framework for Situated Agents for Learning Language Through Interaction
Simon Dobnik | Erik de Graaf |

Semantic Composition via Probabilistic Model Theory
Guy Emerson | Ann Copestake |

Learning to Compose Spatial Relations with Grounded Neural Language Models
Mehdi Ghanimifard | Simon Dobnik |

Field Of Study

Linguistic Trends

Pragmatics Grounded Semantics

Task

Language Understanding

Approach

Graphical Model

Language

English

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