Inductive Learning of Concept Embeddings from Cross-Linguistic Colexification Patterns with Textual Attributes
arXiv:2610.22638v1 Announce Type: new Abstract: The advent of distributional semantics as a framework for computational semantics marked a paradigm shift in the nature of representations, by which meanings are represented as dense vectors commonly known as word embeddings. Computational approaches…
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- 2026-10-19 04:00 · arXiv cs.CL
Inductive Learning of Concept Embeddings from Cross-Linguistic Colexification Patterns with Textual Attributes