Modelling functional priming and the associative boost

By Scott McDonald, Will Lowe. 1998

Subfields: Neuroscience, Cognitive Science & Psychology

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Citations in the corpus

Semantics derived automatically from language corpora contain human-like biases (2016, background): “We assume here that this measure is analogous to reaction time in the IAT, since the shorter time implies a semantic ‘nearness’ (McDonald and Lowe, 1998; Moss et al., 1995).”
An Improved Model of Semantic Similarity Based on Lexical Co-Occurrence (2005, background): “…are typically evaluated on their ability to predict human judgments about the similarity of word pairs, expressed either as explicit synonymy ratings (Rubenstein & Goodenough, 1965; Miller & Charles, 1991) or implicitly through such measures as priming (Plaut & Booth, 2000; McDonald & Lowe, 1998).”
Testing the Distributioanl Hypothesis: The influence of Context on Judgements of Semantic Similarity (2001, background): “…been implicated in a variety of language processing behaviours, such as lexical priming (e.g., Lowe & McDonald, 2000; Lund, Burgess & Atchley, 1995; McDonald & Lowe, 1998), synonym selection (Landauer & Dumais, 1997), retrieval in analogical reasoning (Ramscar & Yarlett, 2000) and judgements of…”
The Direct Route: Mediated Priming in Semantic Space (2000, methodology): “We use the cosine of the angle between word vectors as a similarity measure corresponding to semantic relatedness (McDonald and Lowe, 1998).”
Extracting semantic representations from word co-occurrence statistics: A computational study (2007, methodology): “McDonald and Lowe have also reported on the use of co-occurrence statistics as measures of semantic relatedness (e.g., McDonald & Lowe, 1998; Lowe, 2001).”
Models of Semantic Memory (2015, methodology): “A similar moving window model was used by McDonald and Lowe (1998) to simulate semantic priming. In their model, there is no predecessor/successor distinction, but all words are simply represented by their co-occurrence in the moving window with a small number of predefined “context words.” Although”