Different Markers of Semantic-Lexical Impairment Allow One to Obtain Different Information on the Conversion from MCI to AD: A Narrative Review of an Ongoing Research Program. [PDF]
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Integrating deep learning architectures for enhanced biomedical relation extraction: a pipeline approach. [PDF]
Sarol MJ, Hong G, Guerra E, Kilicoglu H.
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GermaNet Synsets as Selectional Preferences in Semantic Verb Clustering
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Redefining Cognitive Domains in the Era of ChatGPT: A Comprehensive Analysis of Artificial Intelligence's Influence and Future Implications. [PDF]
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Middle-schoolers' reading and lexical-semantic processing depth in response to digital and print media: An N400 study. [PDF]
Froud K, Levinson L, Maddox C, Smith P.
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Semantic encoding during language comprehension at single-cell resolution. [PDF]
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Quantifying the roles of visual, linguistic, and visual-linguistic complexity in noun and verb acquisition. [PDF]
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Add-Remove-Confirm: Crowdsourcing synset cleansing
2015 9th International Conference on Application of Information and Communication Technologies (AICT), 2015Thesaurus is a crucial resource for many natural language processing and artificial intelligence problems, which require common sense reasoning. It is becoming highly topical to put special effort to ensure the high quality of synsets when a thesaurus is created collaboratively by non-expert annotators.
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