For example, looking at the data from the SemEval 2007 campaign (Navigli et al., 2007), which most of the recent systems were evaluated on, we observe that systems that did not use sense annotated data obtain a precision score up to 78 − 79% 2 (Schwab et al., 2013) (Chen et al., 2014) whereas those which use a lot of annotated data reach a score up to 82% (Chan et al., 2007) (Navigli, 2012) (Vial et al., 2016) and even 84% (Yuan et al., 2016).
having all existing corpora in a unique format and using the same sense inventory offers several advantages: it allows to easily expand the quantity of data available for improving WSD systems, it allows to better estimate the distribution of senses in English, and finally, this format can help creating more robust WSD systems.