Data Mining of Causal Relations from Text: Analysing Maritime Accident Investigation Reports
TABLE XIV: Performance of connectives method on expert-1 marked reports.
['Report', 'E', 'A', '[ITALIC] E∩ [ITALIC] A', '( [ITALIC] E∩ [ITALIC] A)/ [ITALIC] A', '( [ITALIC] E∩ [ITALIC] A)/ [ITALIC] E', 'F-measure']
Expert-1 agrees that the algorithm performs well but some passages contain non causal information and does not sufficiently represent the safety management related text. She also noted that the algorithm extracted longer fractions of the text and marked some redundant information. According to her, the algorithm found clearly stated sentences of the accident causes. But the sentences describing various situational factors to the accident were not mentioned within a clear causal sentence format. The average values of precision, recall and F-measure for connectives method on expert-1 marked reports are 0.60, 0.54 and 0.57 respectively.