In <cite>(Bing et al., 2016)</cite> , relation extraction was performed on an "entity centric" corpus, where each document is primarily concerned with a particular "title entity", and the first argument of each relation is always the title entity: hence relation extraction can be viewed as classification, where an entity mention is labeled with its slot filling role, i.e., its relation to the title entity.