In this work, we propose a supervised machine learning approach to relation extraction which is applicable even when (deep) linguistic processing is not available or reliable.
we use a combination of kernel functions to integrate two different information sources: (i) the whole sentence where the relation appears, and (ii) the local contexts around the interacting entities.