Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences
Table 9: Average accuracy for different threshold values in Lau’s method.
['Threshold', '0.30', '0.35', '0.40']
Lau’s method: For Lau’s method, the thresholds represent maximum similarity. So, a lower value will be more restrictive as compared to a higher value. We selected three thresholds (0.30, 0.35, 0.40) for Lau’s method for our experiment. First, we randomly selected 0.26% words from the most restrictive threshold (i.e., 0.30). For the next threshold (0.35), since it contains all the words of the lower threshold (0.30), we we randomly selected 0.26% words from the remaining 3715 words. We did the same for the threshold 0.40 again. Using the 50 words thus obtained, we performed the evaluation.