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Details for:
Kornai A. Vector Semantics 2023
kornai vector semantics 2023
Type:
E-books
Files:
1
Size:
3.8 MB
Uploaded On:
Dec. 10, 2022, 1:52 p.m.
Added By:
andryold1
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0
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0
Info Hash:
75870260778620D5B0029449BF4200C00A6A8685
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Textbook in PDF format Foundations of non-compositionality Background Lexicographic principles The syntax of definitions The geometry of definitions The algebra of definitions Parallel description From morphology to syntax Lexical categories and subcategories Bound morphemes Relations Linking Naive grammar Time and space Space Time Indexicals, coercion Measure Negation Background Negation in the lexicon Negation in compositional constructions Double negation Quantifiers Disjunction Valuations and learnability The likeliness scale Naive inference (likeliness update) Learning Modality Tense and aspect The deontic world Knowledge, belief, emotions Defaults Adjectives, gradience, implicature Adjectives Gradience Implicature Spreading activation Trainability and real-world knowledge Proper names Trainability Dynamic embeddings Applications Fitting to the law Pragmatic inferencing Representation building Explainability External index Appendix: 4lang
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Kornai A. Vector Semantics 2023.pdf
3.8 MB
