Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
data:start [2008/01/17 22:32] marco |
data:start [2008/06/18 15:46] schtepf |
||
---|---|---|---|
Line 8: | Line 8: | ||
===== Ordered by task categories ===== | ===== Ordered by task categories ===== | ||
+ | ==== Task 1: Free Association ==== | ||
+ | It is tempting to make a connection between the **statistical association** patterns of words -- both first-order associations (// | ||
+ | |||
+ | * [[Correlation with Free Association Norms]] | ||
- | ==== Task 1: Categorization ==== | + | ==== Task 2: Categorization ==== |
Categorization tasks play a prominent role in cognitive research on concepts. In this type of tasks, subjects | Categorization tasks play a prominent role in cognitive research on concepts. In this type of tasks, subjects | ||
Line 23: | Line 27: | ||
of the lexicon and/or semantic dimensions: | of the lexicon and/or semantic dimensions: | ||
- | * [[Concrete | + | * [[Concrete |
- | * [[Abstract/ | + | * [[Abstract/ |
* [[Verb Categorization]] | * [[Verb Categorization]] | ||
Line 30: | Line 34: | ||
- | ==== Task 2: Free Association ==== | ||
- | It is tempting to make a connection between the **statistical association** patterns of words -- first-order (// | ||
- | |||
- | * [[Correlation with Free Association Norms]] | ||
==== Task 3: Property Generation ==== | ==== Task 3: Property Generation ==== | ||
Line 41: | Line 41: | ||
The ability to describe a concept in terms of its salient properties is an important feature of human conceptual cognition. In this task, we compare human-generated //norms// collected by psychologists to the properties generated by computational models. | The ability to describe a concept in terms of its salient properties is an important feature of human conceptual cognition. In this task, we compare human-generated //norms// collected by psychologists to the properties generated by computational models. | ||
- | * [[Comparison with Speaker-Generated Features]] | + | * [[Comparison with Speaker-Generated Features]] |
- | + | ||
- | + | ||
===== Source corpus ===== | ===== Source corpus ===== | ||
- | You can train your word space on your favorite corpus. However, we also invite you, if this is suitable, to experiment with the [[http:// | + | You can train your word space on your favorite corpus. However, we also invite you, if this is suitable, to experiment with the [[http:// |