Co-Attention Based Neural Network for Source-Dependent Essay Scoring
Table 5: Example attention scores of essay sentences.
['[BOLD] No.', '[BOLD] Sentences', '[BOLD] Attention']
Because we have a list of examples manually extracted by our experts as important evidence from the RTAMVP source article, examining RTA data helps us understand the attention score assigned by our model. Bolded are examples extracted by the expert from the source article that the student includes in the essay. A lower attention score means this sentence is less important. Otherwise, the score is high. As we can see, sentences 1, 2, 3, and 4 are low attention sentences, sentences 5, 6, and 7 are mid attention sentences, and sentences 8, 9, and 10 are high attention sentences. The attention scores reflect the importance of these sentences accurately.