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Assessing the Incremental Algorithm: A Response to Krahmer et al.
Authors:Kees van Deemter  Albert Gatt  Ielka van der Sluis  Richard Power
Institution:1. Department of Computing Science, University of Aberdeen;2. Institute of Linguistics, University of Malta and Communication and Cognition, Tilburg University;3. Centre for Next Generation Localisation, Trinity College Dublin;4. Mathematics, Computing, and Technology, Open University, Milton Keynes
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.
Keywords:Reference  Natural Language Generation  Evaluation of algorithms
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