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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Can prediction-based distributional semantic models predict typicality? ... Heyman, Tom; Heyman, Geert. - : Open Science Framework, 2018 Abstract: Recent advances in the field of computational linguistics have led to the development of various prediction-based models of semantics. These models seek to infer word representations from large text collections by predicting target words from neighboring words (or vice versa). The resulting representations are vectors in a continuous space, collectively called word embeddings. Although psychological plausibility was not a primary concern for the developers of predictive models, it has been the topic of several recent studies in the field of psycholinguistics. That is, word embeddings have been linked to similarity ratings, word associations, semantic priming, word recognition latencies, etcetera. Here, we build on this work by investigating category structure. More specifically, we first obtained a prototype for a number of common categories (e.g., birds, fruit, vehicles,...) either by averaging across exemplar vectors (e.g., robin, dove, sparrow,...) or by relying on the representation of the label itself ... Keyword: Cognitive Psychology; Computational Linguistics; FOS Languages and literature; FOS Psychology; Linguistics; Psycholinguistics and Neurolinguistics; Psychology; Social and Behavioral Sciences URL: https://dx.doi.org/10.17605/osf.io/59xtd https://doi.org/10.31219/osf.io/59xtd BASE Hide details 2 A deep learning approach to bilingual lexicon induction in the biomedical domain ... Heyman, Geert; Vulić, Ivan; Moens, Marie-Francine. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 3 A deep learning approach to bilingual lexicon induction in the biomedical domain. ... Heyman, Geert; Vulić, Ivan; Moens, Marie-Francine. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 4 A deep learning approach to bilingual lexicon induction in the biomedical domain. Heyman, Geert; Vulić, Ivan; Moens, Marie-Francine. - : Springer Science and Business Media LLC, 2018. : BMC Bioinformatics, 2018 BASE Show details 5 A deep learning approach to bilingual lexicon induction in the biomedical domain Heyman, Geert; Vulić, Ivan; Moens, Marie-Francine. - 2018 BASE Show details 6 A deep learning approach to bilingual lexicon induction in the biomedical domain Heyman, Geert; Vulić, Ivan; Moens, Marie-Francine. - : BioMed Central, 2018 BASE Show details

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