Embodied cognitive semantics for quantification
The present paper proposes an operational semantic model of natural language quantifiers (e.g., many, some, three) and their use in quantified noun phrases. To this end we use embodied artificial agents that communicate in and interact with the physical world. We argue that existing paradigms such as Generalized Quantifiers (Barwise and Cooper 1981; Montague 1973) and Fuzzy Quantifiers (Zadeh 1983) do not provide a satisfactory models for our situated-interaction scenarios and propose a more adequate semantic model, based on fuzzy-quantification.
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Cited by
Cited by 1 other publications
Jain, Minni, Sidharth Bansal & Yatin Gupta
2021.
Experimental Comparison and Scientometric Inspection of Research for Word Embeddings. In
Proceedings of 3rd International Conference on Computing Informatics and Networks [
Lecture Notes in Networks and Systems, 167],
► pp. 3 ff.

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