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 explore a kernel-based approach based solely on shallow linguistic processing, such as tokeniza-tion, sentence splitting, Part-of-Speech (PoS) tagging and lemmatization.