Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
Table 11: Prediction result of the article in Table 10 using the Context Model. The number represents the probability that the blame ties exists between the two corresponding entities.
['[BOLD] sourcetarget', '[ITALIC] e1', '[ITALIC] e2', '[ITALIC] e3']
In this news, United States Presidents accused Russia of helping North Korea evade United Nations sanctions. The blame tie is reflected in the sentences (1) (2) (3) and (5). From (4) we can infer that Trump has a negative attitude towards North Korea because of the nuclear weapons. The model successfully identifies the blame ties from Trump to Russia and Trump to North Korea, with a high confidence score, while the probabilities for the other entity pairs are low.