Different from previous approaches that use treeedit information derived from syntactic trees, our kernel-based learning approach also use tree structures but with rather different learning methods, i.e., SVMs and structural kernels, to automatically extract salient syntactic patterns relating questions and answers.
secondly, we establish semantic links between NEs extracted from the answer sentence and the question focus word, which encodes the expected lexical answer type (LAT).