In this paper, similarly to our previous approach, we design an SVM-based answer extractor, that selects the correct answers from those provided by a basic QA system by applying tree kernel technology.
we also provide: (i) a new kernel to process PASs based on the partial tree kernel algorithm (PAS-PTK), which is highly more efficient and more accurate than the SSTK and (ii) a new kernel called Part of Speech sequence kernel (POSSK), which proves very accurate to represent shallow syntactic information in the learning algorithm.