Inductive Learning of Concept Embeddings from Cross-Linguistic Colexification Patterns with Textual Attributes

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 to historical or typological language comparison,