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An interpretable measure of semantic similarity for predicting eye movements in reading

Bibliographic Data

ID21640776
AuthorsKun Sun (0000-0001-9766-269X, University of Tübingen, corresponding author), Wang Qiuying, Wang Qiu-ying (Oklahoma State University), Xiaofei Lu (0000-0003-2365-2581, Pennsylvania State University), Lu Xiaofei
Year2023
Volume30
Issue4
Pages1227-1242
Publication date2023-08-01
Open AccessYes
TypeARTICLE
VenuePsychonomic Bulletin & Review (JOURNAL)
Journal identifiersISSN: 1069-9384 • E-ISSN: 1531-5320
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.3758/s13423-022-02240-8
PMID36732445
OpenAlexW4318957952
LanguageEN
Citations received3
References cited54

Predictions about upcoming content play an important role during language comprehension and processing. Semantic similarity as a metric has been used to predict how words are processed in context in language comprehension and processing tasks. This study proposes a novel, dynamic approach for computing contextual semantic similarity, evaluates the extent to which the semantic similarity measures computed using this approach can predict fixation durations in reading tasks recorded in a corpus of eye-tracking data, and compares the performance of these measures to that of semantic similarity measures computed using the cosine and Euclidean methods. Our results reveal that the semantic similarity measures generated by our approach are significantly predictive of fixation durations on reading and outperform those generated by the two existing approaches. The findings of this study contribute to a better understanding of how humans process words in context and make predictions in language comprehension and processing. The effective and interpretable approach to computing contextual semantic similarity proposed in this study can also facilitate further explorations of other experimental data on language comprehension and processing

Cognition · Comprehension · Cosine similarity · Eye tracking · Natural language processing · Semantic memory · Semantic similarity · Computer Science · Language, Metaphor, and Cognition · Neurobiology of Language and Bilingualism · Psychology · Topic Modeling · Artificial Intelligence

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Citations per year1.5
Citation span2024 - 2025 (2)
Highly citedNo

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