Hence, we adapted an in-house tokenizer (using cascaded finite-state rules) to the CoNLL task, run two PoS taggers in parallel, and eclectically combine annotations across the various preprocessing components-predominantly giving precedence to GENIA lemmatization and PoS hypotheses.
during development, we trained cue classifiers using a wide variety of feature types, both syntactic and surface-oriented.