We propose an integrated supervised machine learning method that learns both contextual and relational patterns to extract relations.
we construct a linear-chain conditional random field (Lafferty et al., 2001;Sutton and McCallum, 2006) to extract relations from biographical texts while simultaneously discovering interesting relational patterns that improve extraction performance.