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data:correlation_with_free_association_norms [2008/06/23 22:17]
schtepf
data:correlation_with_free_association_norms [2008/06/23 22:19]
schtepf
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 ====== Correlation of the statistical distribution of words with human free associations ====== ====== Correlation of the statistical distribution of words with human free associations ======
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 In the shared task, we wish to find out to what extent free associations can be explained and predicted by statistical association measures computed from corpus data.  The scientific goals of this experiment are twofold: In the shared task, we wish to find out to what extent free associations can be explained and predicted by statistical association measures computed from corpus data.  The scientific goals of this experiment are twofold:
  
-  - **Improve our understanding of free associations.**  In particular, we are interested in the interplay between **first-order and higher-order statistical associations** in human associative memory (e.g. //bear// evokes the hypernym //insect// and the feature //brown//, but //mouse// evokes the compound //mouse trap//).  In future shared tasks, we will also attempt to model the **asymmetry** of many free associations (e.g. //bowler// strongly evokes //hat//, but not vice versa).+  - **Improve our understanding of free associations.**  In particular, we are interested in the interplay between **first-order and higher-order statistical associations** in human associative memory (e.g. //bear// evokes the hypernym //animal// and the property //brown//, but //mouse// evokes the compound //mouse trap//).  In future shared tasks, we will also attempt to model the **asymmetry** of many free associations (e.g. //bowler// strongly evokes //hat//, but not vice versa).
   - **Evaluate free associations as a straightforward "baseline" interpretation of distributional similarity.**  If word space proves to be a good **model of human associative memory**, then we should perhaps focus more on the relation between such free associations and theoretical linguistic categories rather than studying the linguistic aspects of word space models directly.  ((We fully expect a negative answer here, and this is certainly the desirable outcome for many researchers. However, it will be interesting to see how close the relation between word space and associative memory really is.))   - **Evaluate free associations as a straightforward "baseline" interpretation of distributional similarity.**  If word space proves to be a good **model of human associative memory**, then we should perhaps focus more on the relation between such free associations and theoretical linguistic categories rather than studying the linguistic aspects of word space models directly.  ((We fully expect a negative answer here, and this is certainly the desirable outcome for many researchers. However, it will be interesting to see how close the relation between word space and associative memory really is.))