The relationship among the tokens of a table is learned by the model based on Neighborhood, Clustering and Alignment features of the tokens.
for a few tokens where the neighborhood features do not have a clear separation with tokens from nearby cells, the model combines the tokens from adjacent cells, producing wrong predictions.