Referring Expression Generation: Taking Speakers’ Preferences into Account (original) (raw)

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Speaker-dependent variation in content selection for referring expression generation

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Corpus-based evaluation of Referring Expressions Generation

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Referring Expression Generation: What Can We Learn From Human Data?

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Generating referring expressions in context: the GREC task evaluation challenges, Empirical methods in natural language generation: data-oriented methods and empirical evaluation

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Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm

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Evaluating algorithms for the Generation of Referring Expressions using a balanced corpus

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Managing Lexical Ambiguity in the Generation of Referring Expressions

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Building a semantically transparent corpus for the generation of referring expressions

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Evaluating algorithms for the generation of referring expressions: Going beyond toy domains

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Generation of referring expressions

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Probabilistic Refinement Algorithms for the Generation of Referring Expressions

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Evaluation in natural language generation: lessons from referring expression generation| Macquarie University ResearchOnline

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Automatic evaluation of referring expression generation is possible

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NeuralREG: An end-to-end approach to referring expression generation

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Generating referring expressions in context: The GREC task evaluation challenges

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Content determination in the generation of referring expressions

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Utility-Based Generation of Referring Expressions

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Algorithms for Generating Referring Expressions: Do They Do What People Do?

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Generation of Referring Expressions: Managing Structural Ambiguities

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Attribute-centric referring expression generation

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