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data:start [2007/11/16 15:47] alexlenci |
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| - | ====== | + | ====== |
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| - | This page contains a developing list of tasks, sub-tasks and corresponding (sub-)data-sets. | + | |
| - | + | ||
| - | + | ||
| - | ===== Ordered by task categories | + | |
| + | ===== Ordered by events ===== | ||
| + | * [[: | ||
| + | ===== Ordered by task categories ===== | ||
| + | ==== Semantic classification ==== | ||
| - | ==== Task 1: Categorization | + | * Noun & verb categorization (ESSLLI 2008) |
| + | * [[:data: | ||
| + | * [[: | ||
| + | * [[: | ||
| - | Categorization tasks play a prominent role in cognitive research on concepts. In this type of tasks, subjects | + | ==== Free association ==== |
| - | are typically asked to assign experimental items - objects, images, words - | + | |
| - | to a given category or to group together items belonging to the same category. | + | |
| - | Since categorization presupposes an understanding of the relationship between the items in a category, it is regarded as a key source of evidence on the organization and structure of the human conceptual system. | + | |
| - | In the present task, computational models will be tested on their ability to properly group | + | * [[: |
| - | words into semantic categories. The task is organized into three sub-tasks, focussing on different areas | + | * discrimination: |
| - | of the lexicon and/or semantic dimensions: | + | * correlation: regression modelling of association strength |
| + | * prediction of most common responses (strongest associations) | ||
| - | * [[Concrete Nouns Categorization]] | ||
| - | * [[Abstract/ | ||
| - | * [[Verb Categorization]] | ||
| + | ==== Property generation ==== | ||
| - | ==== Task 2 ==== | + | * [[: |
| - | * link to data set | ||
| - | * link to data set | ||
| - | ==== Task 3: Property Generation ==== | ||
| - | * [[Comparison with Speaker-Generated Features]] | ||