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Showing 1 to 18 of 18 for “"semantic category"”.

  1. Experiencing language in the order that children do: Training on age-ordered child-directed speech facilitates semantic category learning in a recurrent neural network

    Previous work has shown that semantic category knowledge can be captured by a distributional learning algorithm operating over naturalistic, noisy child-directed speech (Huebner & Willits, 2018). In chapter 1 of this work, I discuss the algorithm behind this study, and its ability to represent …

    uiuc Repository record for Experiencing language in the order that children do: Training on age-ordered child-directed speech facilitates semantic category learning in a recurrent neural network (opens in a new tab)

  2. Was the patient cured? : understanding semantic categories and their relationship in patient records

    … words and phrases in the text belonging to semantic categories of interest to doctors (semantic category recognition). For disease and symptoms, we determine whether the problem is present, absent, uncertain, or associated with somebody else (assertion classification). Finally, we classify …

    mit Repository record for Was the patient cured? : understanding semantic categories and their relationship in patient records (opens in a new tab)

  3. Fine-grained entity typing system - design and analysis

    … in a given text document and assigning them a semantic category/type from a given taxonomy. It is considered to be one of the fundamental tasks in NLP and forms the basis for higher level understanding. In this thesis, we deal with fine-grained entity type recognition, which is a variant of the …

    uiuc Repository record for Fine-grained entity typing system - design and analysis (opens in a new tab)

  4. The Retrieval Processes That Underlie Remembering and Knowing in Recognition Memory

    … 5, cued-recall of items belonging to a semantic category (retrieval practice) decreased Remember hits and marginally increased Know hits for unpracticed members of that category relative to baseline. These findings are consistent with the idea that Remember and Know states are directly …

    uiuc Repository record for The Retrieval Processes That Underlie Remembering and Knowing in Recognition Memory (opens in a new tab)

  5. MANIPULATING TEMPORAL COMPONENTS DURING SINGLE-WORD PROCESSING TO FACILITATE ACCESS TO STORED ORTHOGRAPHIC REPRESENTATIONS IN LETTER-BY-LETTER READERS

    … can accurately perform lexical decision and category judgment tasks, yet they are unable to read words aloud. These studies suggest that rapid presentation of words could be used as a treatment technique to promote whole-word reading. It was predicted that treatment utilizing rapid …

    temple Repository record for MANIPULATING TEMPORAL COMPONENTS DURING SINGLE-WORD PROCESSING TO FACILITATE ACCESS TO STORED ORTHOGRAPHIC REPRESENTATIONS IN LETTER-BY-LETTER READERS (opens in a new tab)

  6. Facilitating multisyllabic productions with a hybrid treatment approach in three preschool-age children

    … and 15 control that were matched based on semantic category and phonetic complexity. Overall, results indicated positive gains in two of the three children that could be attributed directly to the applied treatment. Specifically, two of the children produced gains in the treated target sets …

    uiuc Repository record for Facilitating multisyllabic productions with a hybrid treatment approach in three preschool-age children (opens in a new tab)

  7. The relationship between visuospatial perception networks and visual confrontation naming in aphasia

    … which are subject to influence from a variety of semantic properties (e.g. prototypicality, imageability, semantic category, etc.) [1,6,12,18,22,23,51,52,66,77] and the specific effects of these semantic properties and the neural networks that subserve them remain relatively understudied. Models …

    bu Repository record for The relationship between visuospatial perception networks and visual confrontation naming in aphasia (opens in a new tab)

  8. The Effects of Alcohol on Semantic Memory

    … (PI), the same name (SN), or from the same semantic category (SC). Response times and accuracy of response was automatically recorded by computer.</p> <p>Two (treatment) x two (verbal ability) x three (decision type) x two (response type) mixed ANOVAs were run on median response times, as …

    nodak Repository record for The Effects of Alcohol on Semantic Memory (opens in a new tab)

  9. Regional variation of mood use in Spanish: A comparison among three Spanish-speaking regions

    … governors (e.g., preferir que 'to prefer that'), semantic category, and time reference diverged across the regions. The examination of gender and individual participants also pointed to a possible connection between these factors and variable mood use across regions. These findings indicate that …

    vt Repository record for Regional variation of mood use in Spanish: A comparison among three Spanish-speaking regions (opens in a new tab)

  10. AN INVESTIGATION OF SELECTIVE REMEMBERING IN AUDITORY SHORT-TERM MEMORY

    … words were distinguished on the basis of semantic category (e.g., colors versus trees). In Experiments 1-3, there were 12 wanted and 12 unwanted words, and the wanted words could be recalled in any order. Recall in the precuing condition was considerably higher than in the postcuing …

    rice Repository record for AN INVESTIGATION OF SELECTIVE REMEMBERING IN AUDITORY SHORT-TERM MEMORY (opens in a new tab)

  11. Semantic prototypes in EFL children’s and adolescents’ lexical output and vocabulary input in EFL textbooks

    … by Rosch (1975). This theory highlights that a semantic prototype is known as the most representative exemplar recognized by the human being in a category. In this respect, semantic prototypes play a significant role in the categorization of the mental lexicon in any language (Taylor, 1989; …

    dialnet Repository record for Semantic prototypes in EFL children’s and adolescents’ lexical output and vocabulary input in EFL textbooks (opens in a new tab)

  12. A sparse coding approach to multiclass pixel labelling

    … labelling to facilitate scene understanding and semantic segmentation. Specifically, we focus on enforcing label consistency in local image regions through sparse modelling of image data. Individual pixels in an image may be assigned a label denoting a semantic category (such as sky, grass, …

    aus-cath Repository record for A sparse coding approach to multiclass pixel labelling (opens in a new tab)

  13. A sparse coding approach to multiclass pixel labelling

    … labelling to facilitate scene understanding and semantic segmentation. Specifically, we focus on enforcing label consistency in local image regions through sparse modelling of image data. Individual pixels in an image may be assigned a label denoting a semantic category (such as sky, grass, …

    anu Repository record for A sparse coding approach to multiclass pixel labelling (opens in a new tab)

  14. Multi-output structured learning

    … an image (i.e., labelings of every pixel with a semantic category); all English translations of a Chinese sentence; or all 3D configurations of a fixed-length sequence of (a priori unknown) amino acids. Indeed, SOP has led to state-of-the-art results in applications from various fields [Bakir et …

    uiuc Repository record for Multi-output structured learning (opens in a new tab)

  15. Non-symbolic exact quantity representation in a language-impaired population

    … and a subset of participants completed nonverbal semantic processing and short-term memory tasks (<em>Pyramids and Palm Trees</em> and a verbal semantic category probe) to better understand errors on nonverbal matching tasks. Results indicated that for people with aphasia, non-symbolic exact …

    duquesne Repository record for Non-symbolic exact quantity representation in a language-impaired population (opens in a new tab)

  16. Modeling Cognition by Pruning and Topography-Learning in Deep Neural Networks

    … between model representations and human semantic knowledge, we focus on representational alignment with human similarity judgments. Rather than relying on all information in the full embeddings extracted from the deep networks, as is common in the literature, we identify the relevant …

    trento Repository record for Modeling Cognition by Pruning and Topography-Learning in Deep Neural Networks (opens in a new tab)

  17. The Proscriptive Principle and Logics of Analytic Implication

    … 3 considers Kit Fine’s program of state space semantics in the context of Parry logics. Recently, Fine—who had already provided the first intuitive semantics for Parry’s PAI—has offered a formal model of truthmaking (and falsemaking) that provides one of the first natural semantics for Richard …

    cuny-grad Repository record for The Proscriptive Principle and Logics of Analytic Implication (opens in a new tab)