lexemer
Lexemer is a theoretical unit in lexical semantics and computational linguistics designed to capture a single sense of a word together with its grammatical and semantic properties. It is intended as the smallest context-ready unit that can be linked to a specific sense in a lexical database or NLP model. The concept distinguishes between a word’s overall lexical item (lexeme) and the individual senses it encodes; each sense is represented by a separate lexemer.
A lexemer typically includes several components: the lemma or base form, a sense_id that uniquely identifies
Relation to other notions: a lexeme denotes the complete set of all forms and senses of a
Examples: the word bank can have at least two lexemers: bank financial_institution (sense_id FIN-01) with syntactic
Applications and challenges: lexemers enable fine-grained sense representation and disambiguation but defining sense boundaries and obtaining