To reduce data sparseness and improve the estimation of the above probabilities, we make conditional independence assumptions about the generation of these feature values.
as shown in the first column of Table 1, we divide the seven features into three groups (namely, strong coreference indicators, linguistic constraints, and mention types), assuming that two feature values are conditionally independent if and only if the corresponding features belong to different groups.