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data:esslli2008:abstract_concrete_nouns_discrimination [2010/02/08 00:27] schtepf |
data:esslli2008:abstract_concrete_nouns_discrimination [2010/11/01 14:07] |
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- | ====== Task 1b - Abstract/ | ||
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- | ==== Introduction ==== | ||
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- | The contrast between abstract and concrete words plays a central role in human cognition. Behavioural and neuropsychological evidence suggests that abstract and concrete concepts might be represented, | ||
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- | Since semantic classifications of abstract nouns have a higher degree of arbitariness than the ones for concrete nouns, we have not defined any a priori " | ||
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- | The {{concabst.dataset.txt.gz |data set}} consists of 40 nouns extracted from the [[http:// | ||
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- | ==== Task Operationalization ==== | ||
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- | The nouns have been classified into three classes: | ||
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- | * **HI** - 15 nouns selected from those in MRC with the highest concreteness value. These are a subset of the nouns in the data set for the [[http:// | ||
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- | * **LO** - 15 nouns selected from those in MRC with the lowest concreteness value (e.g. " | ||
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- | * **ME** - 10 nouns with a concreteness score close to the average in MRC (e.g. " | ||
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- | We operationalize the abstract/ | ||
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- | To abstract away from differences stemming from any specific clustering method, you are asked to run your experiments with CLUTO. See the page on the [[concrete_noun_categorization|concrete noun categorization task]] for details. | ||
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- | ==== Task Evaluation ==== | ||
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- | Evaluation will be carried out in two stages: | ||
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- | 1. **HI vs. LO discrimination** - results of 2-way clustering will be evaluated with respect to the two measures for cluster quality available in CLUTO: //purity// and //entropy// (cf. Zhao, Y. and G. Karypis (2002), " | ||
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- | 2. **ME evaluation** - This second phase will focus on the 10 nouns belonging to the ME class, which includes nouns referring to events, institutions, | ||
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- | Back to the [[Start# | ||
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- | Back to [[Start]] | ||
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