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- **Repository:** [Linking Theories and Methods of Cognitive Control](https://github.com/morteza/cogtext)
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- **Point of Contact:** [Morteza Ansarinia]([email protected])
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## Citation
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- **Repository:** [Linking Theories and Methods of Cognitive Control](https://github.com/morteza/cogtext)
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- **Point of Contact:** [Morteza Ansarinia]([email protected])
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We performed automated text analyses on a large body of scientific texts (385705 scientific abstracts) and created a joint representation of cognitive control tasks and constructs.
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Abstracts were first mapped into an embedding space using GPT-3 and Top2Vec models. Document embeddings were then used to identify a task-construct graph embedding that grounds constructs on tasks and supports nuanced meaning of the constructs by taking advantage of constrained random walks in the graph.
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**CogText** dataset contains a collection of PubMed abstracts, along with their GPT-3 embeddings and topic embeddings. See [CogText on GitHub](https://github.com/morteza/cogtext) for the details and codes.
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## Citation
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