An automatic approach to identify word sense changes in text media across timescales

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Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change (2019, unknown): “…embed-dings (Kim et al., 2014; Basile et al., 2016; Kulka-rni et al., 2015; Hamilton et al., 2016b); graph-based models (Tahmasebi and Risse, 2017a; Mitra et al., 2014, 2015); and ﬁnally topic-based (Lau et al., 2012; Wang et al., 2015; Frermann and La-pata, 2016; Hengchen, 2017; Perrone et al.,…”
Analysing Lexical Semantic Change with Contextualised Word Representations (2020, methodology): “For example, the method for novel sense identiﬁcation by Mitra et al. (2015) represents senses as clusters of short dependency-labelled contexts.”
A Bayesian Model of Diachronic Meaning Change (2016, methodology): “Our accuracy scores are in the same ballpark as Mitra et al. (2014, 2015).”