Delta-band neural tracking primarily reflects rule-based chunking instead of semantic relatedness between words. [PDF]
Cereb Cortex, 2023 Lu Y, Jin P, Ding N, Tian X.
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Effects of emotion and semantic relatedness on recognition memory: Behavioral and electrophysiological evidence. [PDF]
Psychophysiology, 2023 Han M, Li B, Guo C, Tibon R.
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A Semantic Relatedness Model for the Automatic Cluster Analysis of Phonematic and Semantic Verbal Fluency Tasks Performed by People With Parkinson Disease: Prospective Multicenter Study. [PDF]
JMIR Neurotechnol, 2023 Hähnel T +9 more
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, 2018 Eliciting semantic similarity between concepts in the biomedical domain remains a challenging task. Recent approaches founded on embedding vectors have gained in popularity as they risen to efficiently capture semantic relationships The underlying idea ...
Abdeddaïm, Saïd +2 more
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Journal of CognitionStudies on short-term memory have repeatedly demonstrated the beneficial effect of semantic similarity. Although the effect seems robust, the aspects of semantics targeted by these studies (e.g., categorical structure, associative relationship, or ...
Sho Ishiguro, Satoru Saito
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Automated clinical pathway standardization using SNOMED CT- based semantic relatedness. [PDF]
Digit Health, 2022 Alahmar A, AlMousa M, Benlamri R.
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Is theology more of a field than a father is a king? Modelling semantic relatedness in processing literal and metaphorical statements. [PDF]
Psychon Bull Rev, 2022 Westbury C, Harati P.
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Thematically Reinforced Explicit Semantic Analysis
, 2013 We present an extended, thematically reinforced version of Gabrilovich and Markovitch's Explicit Semantic Analysis (ESA), where we obtain thematic information through the category structure of Wikipedia.
Haralambous, Yannis, Klyuev, Vitaly
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Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding. [PDF]
PeerJ Comput Sci, 2022 Sarwar TB, Noor NM, Saef Ullah Miah M.
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A Trio Neural Model for Dynamic Entity Relatedness Ranking
, 2018 Measuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications. Prior work often studies entity relatedness in static settings and an unsupervised manner. However, entities in real-world are
Nejdl, Wolfgang +2 more
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