Relation extraction was treated as a sequence labeling problem and relational patterns were discovered to boost the performance.
this model extracts relations without considering dependencies between entities, and the best reported F-measure is 67.91, which is significantly (by 2.5%) lower than our MLN system when evaluated on the same training and testing sets.