The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks

arXiv:2404.00176v1 Announce Type: new
Abstract: Lexical Semantic Change Detection (LSCD) is a complex, lemma-level task, which is usually operationalized based on two subsequently applied usage-level tasks: First, Word-in-Context (WiC) labels are derived for pairs of usages. Then, these labels are represented in a graph on which Word Sense Induction (WSI) is applied to derive sense clusters. Finally, LSCD labels are derived by comparing sense clusters over time. This modularity is reflected in most LSCD datasets and models. It also leads …

abstract arxiv benchmark change context cs.cl detection graph labels meaning semantic sense tasks type usage word