In contrast, rule-based models are easily interpretable, naturally produce explanations for their decisions, and can generalise from smaller quantities of data.
these methods are not robust to noise and can hardly be applied to domains where data is ambiguous, such as vision and language (Moldovan et al., 2003;Rocktäschel and Riedel, 2017;Evans and Grefenstette, 2017).