In answer ranking phase, TI-QA considers the probabilities of different answer types as well: On one hand, TD-QA can achieve relative high ranking precision, as using a unique answer type greatly reduces the size of the candidate list for ranking.
as the answer-typing model is far from perfect, if prediction errors happen, TD-QA can no longer give correct answers at all.