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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]] |