While the literature is too large to enumerate, Giménez and Marquez (2004) is a good example of an accurate linear model that uses both word and sub-word features.
like most systems of the time, they use ngram affix features, which were made context sensitive via manually constructed conjunctions with features from other words in a fixed window.