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Short Answer Grading (SAG) is a task of scoring students' answers in examinations. Most existing SAG systems predict scores based only on the answers, including the model (Riordan et al., 2017) used as baseline in this paper, which gives the-state-of-the-art performance. But they ignore important evaluation criteria such as rubrics, which play a crucial role for evaluating answers in real-world situations. In this paper, we present a method to inject information from rubrics into SAG systems.doi:10.18653/v1/d19-6119 dblp:conf/acl-deeplo/WangIOMI19 fatcat:oxtmyxu425hvtnfeg3w5m5irty