Unified Pragmatic Models for Generating and Following Instructions. Fried, D., Andreas, J., & Klein, D. , 2017. abstract bibtex We extend models for both following and generating natural language instructions by adding an explicit pragmatic layer. These pragmatics-enabled models explicitly reason about why speakers produce certain instructions, and about how listeners will react upon hearing them. Given learned base listener and speaker models, we build a pragmatic listener that uses the base speaker to reason counterfactually about alternative action descriptions, and a pragmatic speaker that uses the base listener to simulate the …
@Article{Fried2017,
author = {Fried, Daniel and Andreas, Jacob and Klein, Dan},
title = {Unified Pragmatic Models for Generating and Following Instructions},
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volume = {},
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year = {2017},
abstract = {We extend models for both following and generating natural language instructions by adding an explicit pragmatic layer. These pragmatics-enabled models explicitly reason about why speakers produce certain instructions, and about how listeners will react upon hearing them. Given learned base listener and speaker models, we build a pragmatic listener that uses the base speaker to reason counterfactually about alternative action descriptions, and a pragmatic speaker that uses the base listener to simulate the …},
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