Novel Word-sense Identification

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Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change (2016, background): “, 2014; Xu and Kemp, 2015), as well as recent work on detecting the emergence of novel word senses (Lau et al., 2012; Mitra et al., 2014; Cook et al., 2014; Mitra et al., 2015; Frermann and Lapata, 2016).”
A Bayesian Model of Diachronic Meaning Change (2016, methodology): “However, Cook et al. (2014) propose several ways to perform this task post-hoc.”
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings (2019, methodology): “Some studies have performed evaluations based on dictionary data (e.g., Cook et al., 2014; Basile and McGillivray, 2018), manual annotation of dictionary senses in corpora (McGillivray et al., 2019), and manual annotation of word types (Kenter et al., 2015), but this approach is not well-suited for…”
Analysing Lexical Semantic Change with Contextualised Word Representations (2020, methodology): “Several Bayesian models of sense change have been proposed (Wijaya and Yeniterzi, 2011; Lau et al., 2012, 2014; Cook et al., 2014).”