Building a Semantically Transparent Corpus for the Generation of Referring Expressions.

By Kees van Deemter, Ielka van der Sluis, Albert Gatt. International Conference on Natural Language Generation, 2006

303 citations recorded by the source corpus.

This paper discusses the construction of a corpus for the evaluation of algorithms that generate referring expressions. It is argued that such an evaluation task requires a semantically transparent corpus, and controlled experiments are the best way to create such a resource. We address a number of issues that have arisen in an ongoing evaluation study, among which is the problem of judging the output of GRE algorithms against a human gold standard.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/a611c1097a3e9c1cb762f156965d8ca23277f42e

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In Artificial Intelligence

  1. A. Schmitt
  2. M. Horstwood
  3. U. Schaltegger

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