Current breakthroughs in natural language processing have benefited dramatically from neural models, through which distributional semantics can leverage data representations to facilitate downstream applications. Since embeddings use context prediction on word co-occurrences yield dense vectors, they are inevitably prone capture more semantic association than similarity. To improve vector space...

Categories are not invariant. This paper attempts to explore the dynamic nature of semantic category, in particular, that of fashion language, based on the cognitive theory of Dawkins’ memetics, a new theory of cultural evolution. Semantic attributes of linguistic memes decrease or proliferate in replication and spreading, which involves a dynamic development of semantic category. More specific...

Computational semantics and lexical semantics have so far mostly been studied separately. As a result, computational semantics often constructs meanings with poor or little lexical sense, while lexical semantics generally only apply to simple and small phrases (as opposed to complete sentences). We present here a general framework to incorporate lexical semantics information originating from a ...