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Evaluating algorithms for the Generation of Referring Expressions using a balanced corpus
TLDR
We describe a corpus-based evaluation methodology, applied to a number of classic algorithms in this area. Expand
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Generation of Referring Expressions: Assessing the Incremental Algorithm
TLDR
A substantial amount of recent work in natural language generation has focused on the generation of ''one-shot'' referring expressions whose only aim is to identify a target referent. Expand
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The influence of target size and distance on the production of speech and gesture in multimodal referring expressions
TLDR
In this paper we report on a production experiment for multimodal referring expressions. Expand
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Xml format guidelines for the tuna corpus
TLDR
This document forms part of the 2008 distribution of the TUNA Corpus of Referring Expressions, Version 1.0. Expand
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Building a Semantically Transparent Corpus for the Generation of Referring Expressions
TLDR
This paper discusses the construction of a corpus for the evaluation of algorithms that generate referring expressions. Expand
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Towards Empirical Evaluation of Affective Tactical NLG
TLDR
This paper is about developing techniques for the empirical evaluation of affective natural language generation (NLG). Expand
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A New Model for Generating Multimodal Referring Expressions
TLDR
This paper greatly benefitted from discussions with Mariët Theune and Kees van Deemter. Expand
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Comparing intrinsic and extrinsic evaluation of MT output in a dialogue system
TLDR
We present an exploratory study to assess machine translation output for application in a dialogue system using an intrinsic and an extrinsic evaluation method. Expand
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A new model for the generation of multimodal referring expressions
TLDR
This paper greatly benefitted from discussions with Mariët Theune and Kees van Deemter. Expand
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