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  2. Levels of Processing model - Wikipedia

    en.wikipedia.org/wiki/Levels_of_Processing_model

    Typical level-of-processing theory would predict that picture encodings would create deeper processing than lexical encoding. "Memory over the short term and the long term has been thought to differ in many ways in terms of capacity, the underlying neural substrates, and the types of processes that support performance."

  3. Semantic processing - Wikipedia

    en.wikipedia.org/wiki/Semantic_Processing

    Semantic processing is the deepest level of processing and it requires the listener to think about the meaning of the cue. Studies on brain imaging have shown that, when semantic processing occurs, there is increased brain activity in the left prefrontal regions of the brain that does not occur during different kinds of processing. One study ...

  4. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    6 different real multiple choice-based exams (735 answer sheets and 33,540 answer boxes) to evaluate computer vision techniques and systems developed for multiple choice test assessment systems. None 735 answer sheets and 33,540 answer boxes Images and .mat file labels Development of multiple choice test assessment systems 2017 [204] [205]

  5. Deep linguistic processing - Wikipedia

    en.wikipedia.org/wiki/Deep_linguistic_processing

    Deep linguistic processing is a natural language processing framework which draws on theoretical and descriptive linguistics. It models language predominantly by way of theoretical syntactic/semantic theory (e.g. CCG , HPSG , LFG , TAG , the Prague School ).

  6. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Vietnamese Question Answering Dataset (UIT-ViQuAD) A large collection of Vietnamese questions for evaluating MRC models. This dataset comprises over 23,000 human-generated question-answer pairs based on 5,109 passages of 174 Vietnamese articles from Wikipedia. 23,074 Question-answer pairs Question Answering 2020 [334] Nguyen et al.

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

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  9. Transfer-appropriate processing - Wikipedia

    en.wikipedia.org/.../Transfer-appropriate_processing

    Transfer-appropriate processing (TAP) is a type of state-dependent memory specifically showing that memory performance is not only determined by the depth of processing (where associating meaning with information strengthens the memory; see levels-of-processing effect), but by the relationship between how information is initially encoded and how it is later retrieved.