Computational models of semantic similarity 1 Running head : Computational models of semantic similarity Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting : A review and empirical validation

@inproceedings{Mandera2016ComputationalMO,
  title={Computational models of semantic similarity 1 Running head : Computational models of semantic similarity Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting : A review and empirical validation},
  author={Paweł Mandera and Emmanuel Keuleers and Marc Brysbaert},
  year={2016}
}
Recent developments in distributional semantics (Mikolov et al., 2013) include a new class of prediction-based models that are trained on a text corpus and that measure semantic similarity between words. We discuss the relevance of these models for psycholinguistic theories and compare them to more traditional distributional semantic models. We compare the models' performances on a large dataset of semantic priming (Hutchison et al., 2013) and on a number of other tasks involving semantic… CONTINUE READING
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