Assessing the Incremental Algorithm: a Response to Krahmer et al

Kees van Deemter; Albert Gatt; Ielka van der Sluis; Richard  Power

doi:10.1111/j.1551-6709.2012.01259.x

Assessing the Incremental Algorithm: a Response to Krahmer et al

Kees van Deemter, Albert Gatt, Ielka van der Sluis, Richard Power

Computing Science

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This response discusses the experiment reported in Krahmer et al.'s Letter to the Editor of Cognitive Science. WE observe that their results do not tell us whether the Incremental Algorithm is better or worse than its competitors, and we speculate about implications for reference in complex domains, and for learning from "normal" (i.e., non-semantically-balanced) corpora.

Original language	English
Pages (from-to)	842-845
Number of pages	4
Journal	Cognitive Science
Volume	36
Issue number	5
Early online date	1 Jun 2012
DOIs	https://doi.org/10.1111/j.1551-6709.2012.01259.x
Publication status	Published - Jul 2012

Keywords

reference production
evaluation experiments
Letter to the Editor

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10.1111/j.1551-6709.2012.01259.x

http://www.abdn.ac.uk/~csc264/response-to-krahmer-final.pdf

Cite this

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title = "Assessing the Incremental Algorithm: a Response to Krahmer et al",

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AB - This response discusses the experiment reported in Krahmer et al.'s Letter to the Editor of Cognitive Science. WE observe that their results do not tell us whether the Incremental Algorithm is better or worse than its competitors, and we speculate about implications for reference in complex domains, and for learning from "normal" (i.e., non-semantically-balanced) corpora.

KW - reference production

KW - evaluation experiments

KW - Letter to the Editor

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DO - 10.1111/j.1551-6709.2012.01259.x

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JO - Cognitive Science

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Assessing the Incremental Algorithm: a Response to Krahmer et al

Abstract

Keywords

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