Human estimates of statistical relatedness
نویسندگان
چکیده
منابع مشابه
Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning
An important topic in Semantic Web research is to learn ontologies from text. Here, assessing the degree of semantic relatedness between words is an important task. However, many existing relatedness measures only encode information contained in the underlying corpus and thus do not directly model human intuition. To solve this, we propose RRL (Relative Relatedness Learning) to improve existing...
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Background: Foodborne infection caused by EnterotoxigenicEscherichia coli (ETEC) and Enteropathogenic Escherichia coli (EPEC) is one of the major health problems, particularly in the developing countries. Therefore, it is vital to identify the origin of food contamination to plan control strategies efficiently. Method: A tota...
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We develop computational measures of semantic relatedness using data collected in psycholinguistic and annotation-style experiments. Datasets and measures are briefly described, and correlations with human data are presented. Estimating the degree of semantic relatedness between words in a text is deemed important in numerous applications: word-sense disambiguation (Banerjee and Pedersen, 2003)...
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ژورنال
عنوان ژورنال: Psychonomic Science
سال: 1966
ISSN: 0033-3131
DOI: 10.3758/bf03328441