The main takeaway is that predictive models, such as Word2Vec (Mikolov et al., 2013), are shown to perform better than count-based ones.
timeML (Pustejovsky et al., 2003) is the widely known annotation framework for creating such representation that was used in the tempEval series, i.e., evaluation exercises focusing on temporal information processing.