We are also interested in the algorithm's performance in recognising non-literal readings.
we compute precision (P ), recall (R), and Fmeasure (F ), where A is the number of non-literal readings correctly identified as non-literal (true positives) and B the number of literal readings that are incorrectly identified as non-literal (false positives): The baseline used for comparison is the assignment of the most frequent reading literal.