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SCoT: Sense Clustering over Time: a tool for the analysis of lexical change. (arXiv:2203.09892v1 [cs.CL])
March 21, 2022, 1:11 a.m. | Christian Haase, Saba Anwar, Seid Muhie Yimam, Alexander Friedrich, Chris Biemann
cs.CL updates on arXiv.org arxiv.org
We present Sense Clustering over Time (SCoT), a novel network-based tool for
analysing lexical change. SCoT represents the meanings of a word as clusters of
similar words. It visualises their formation, change, and demise. There are two
main approaches to the exploration of dynamic networks: the discrete one
compares a series of clustered graphs from separate points in time. The
continuous one analyses the changes of one dynamic network over a time-span.
SCoT offers a new hybrid solution. First, it …
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