[
Table 8: Performance (F-measure) with two different context sizes. Details of the experiments are given in Table 4.
['Exp.', 'SMS (small)', 'SMS (large)', 'CFMP', 'Web']
The experiments presented in the previous section used a context of top-5 frequently occurring previous and next words. Here, we study the effect of varying context size on the performance of our clustering framework. Decreasing the minimum context list size to one increases the number of words to evaluate; therefore, results are reported for all experiments with context size between 1 and 5, even though Exp. 1 to 3 do not use contextual information. Decreasing the minimum context list size to one also explains the lower performance values for these experiments as compared to those with context size of at least 5.