Tracing armed conflicts with diachronic word embedding models

WS 2017 Andrey KutuzovErik VelldalLilja {\O}vrelid

Recent studies have shown that word embedding models can be used to trace time-related (diachronic) semantic shifts in particular words. In this paper, we evaluate some of these approaches on the new task of predicting the dynamics of global armed conflicts on a year-to-year basis, using a dataset from the conflict research field as the gold standard and the Gigaword news corpus as the training data... (read more)

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