Arataur Two measures of semantic similarity A. LSA represents one technique for deriving similarity values via automated text processing. Open in a separate window. We order the words in the pool by their semantic similarity according to g p to i 1.
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Arataur Two measures of semantic similarity A. LSA represents one technique for deriving similarity values via automated text processing. Open in a separate window. We order the words in the pool by their semantic similarity according to g p to i 1. Table 1 Simulation word pool. The panel shows the proportion of simulated participants that yielded the mean LSA-derived semantic clustering scores shown along the x -axis.
Interpreting semantic clustering effects in free recall. Discussion Our simulations yield four valuable insights into the interpretation bousfjeld semantic clustering during free recall. Gamma oscillations distinguish true from false memories.
Rather, a near-ceiling clustering score may reflect the specific sequence of words presented to the participant, or the specific structure of the experiment. We chose the two semantic similarity metrics as representative examples from the broader range of metrics discussed in the introduction. A semantic clustering score of 0. Distribution of the pairwise WAS-derived semantic similarity values for the same words.
Semantic clustering score The semantic clustering score, developed by Polyn et al. Interpreting semantic clustering effects in free recall We used the set of pairwise similarities for this set of highly imageable nouns in our simulations. If one observes or fails to bousfielc a similar pattern of clustering scores across experimental conditions when using multiple semantic similarity models e.
Introduction The free recall paradigm has participants study lists of items — typically words — and subsequently recall the studied items in the order they come to mind. Clustering in free recall as a function of certain methodological variations. Oscillatory patterns in temporal lobe reveal context reinstatement during memory search. We begin by selecting the first recalled word, i 1at random from the set of n studied words.
Results We ran two batches of simulations. Word association spaces for predicting semantic similarity effects in episodic memory. Abstract The order in which participants choose to recall words from a studied list of randomly selected words provides insights into how memories of the words are represented, organized, bouefield retrieved.
Generating recall sequences that maximize the semantic clustering score As defined above, the semantic clustering score according to metric g p is maximized i.
Rather, we bousfeild found the semantic clustering score toprovide a convenient means of quantifying semantic clustering. Our simulations are intended to estimate the maximum expected magnitude of semantic clustering effects in free recall. Interpreting semantic clustering effects in free recall Journal of Abnormal and Social Psychology. We have focused on a single semantic clustering metric, the semantic clustering score Polyn et al.
Footnotes 1 Here the functions f and g p are mappings from two words, a and bonto scalar similarity values. TOP Related Posts.
Interpreting semantic clustering effects in free recall
See other articles in PMC that cite the published article. Abstract The order in which participants choose to recall words from a studied list of randomly selected words provides insights into how memories of the words are represented, organized, and retrieved. One pervasive finding is that when a pair of semantically related words e. This tendency to successively recall semantically related words is termed semantic clustering Bousfield and Sedgewick, ; Bousfield, ; Cofer et al. Measuring semantic clustering effects requires making assumptions about which words participants consider to be similar in meaning. Our results provide a number of useful insights into the interpretation of semantic clustering effects in free recall.
Nijinn Interpreting semantic clustering effects in free recall The content is solely the responsibility of the authors and does not necessarily represent the official views of our supporting organizations. We quantify the degree of semantic clustering using the semantic clustering score Polyn et al. Although the similarity values produced by each of these myriad similarity metrics are somewhat related, the pairwise correlations between the measures tend to be surprisingly low. Each dot corresponds to a single comparison between two words. The primacy, recency, and temporal clustering effects may be measured objectively by examining the relative probabilities of bkusfield or transitioning between items that appeared at each serial position on a studied list.