Supervised Fine Tuning for Word Embedding with Integrated Knowledge
Table 6: Effect of Data Size.
['Embedding Data Size', 'GloVe300 0', 'GloVe300 50', 'GloVe300 100', 'GloVe300 150', 'GloVe300 200', 'Skip50 0', 'Skip50 50', 'Skip50 100', 'Skip50 150', 'Skip50 200']
Obviously, the performance of the analogical reasoning tasks is improved slightly with the increase of training data size. However, the performance for similarity prediction tasks reveals two diverse paths, the small datasets like RG65 and YP130 prefer small size of training data, and the performance of large datasets like M3K and Mturk771 is not affected by the size of training data.