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Richard Power [6]Richard J. D. Power [1]
  1. Sandra Williams & Richard Power (2013). Hedging and Rounding in Numerical Expressions. Pragmatics and Cognition 21 (1):193-223.
    Previous accounts of hedges assume that they cause language to become vague or fuzzy (Lakoff 1973); however, hedges can actually sharpen numerical concepts by giving explicit information about approximation, especially where bare numbers appear misleadingly round or precise. They can also tell hearers about the direction of approximation (greater or less than). This article provides a first empirical account of interactions between hedging and rounding in numerical expressions. We demonstrate that hedges occur more commonly with round numbers than with non-round (...)
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  2. Kees van Deemter, Albert Gatt, Ielka van der Sluis & Richard Power (2012). Assessing the Incremental Algorithm: A Response to Krahmer Et Al. Cognitive Science 36 (5):842-845.
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  3. Kees van Deemter, Albert Gatt, Ielka van der Sluis & Richard Power (2012). Generation of Referring Expressions: Assessing the Incremental Algorithm. Cognitive Science 36 (5):799-836.
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  4. Kees van Deemter, Albert Gatt, Ielka van der Sluis & Richard Power (2012). Assessing the Incremental Algorithm: A Response to Krahmer Et Al. Cognitive Science 36 (5):842-845.
    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.
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  5. Kees van Deemter, Albert Gatt, Ielka van der Sluis & Richard Power (2011). Generation of Referring Expressions: Assessing the Incremental Algorithm. Cognitive Science 36 (5):799-836.
    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. Dale and Reiter's Incremental Algorithm (IA) is often thought to be the best algorithm for maximizing the similarity to referring expressions produced by people. We test this hypothesis by eliciting referring expressions from human subjects and computing the similarity between the expressions elicited and the ones generated by algorithms. It turns out that (...)
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  6. Richard J. D. Power & Maria Felicita Dal Martello (1986). Some Criticisms of Sacks, Schegloff, and Jefferson on Turn Taking. Semiotica 58 (1-2):29-40.
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  7. Richard Power (1984). Mutual Intention. Journal for the Theory of Social Behaviour 14 (1):85–102.
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