| Abstract | We combine several graph alignment features with lexical semantic similarity measures using machine learning techniques and show that the student answers can be more accurately graded than if the semantic measures were used in isolation. |
| Answer Grading System | 3.3 Lexical Semantic Similarity |
| Answer Grading System | We combine the alignment scores $001,, A8) with the scores ¢B(Ai, As) from the lexical semantic similarity measures into a single feature vector ¢(A,-,AS) = [¢G(A,-,AS)|¢B(A,-,AS)]. |