Canonicalizing Knowledge Base Literals
Table 4: Overall performance of entity matching on R-Lite with and without type constraint.
['Metrics', 'Pure Lookup', 'Lookup-Type ( [ITALIC] θ=0.15)', 'Lookup-Type ( [ITALIC] θ=0.01)']
The types are predicted by the fine-tuned AttBiRNN with independent typing and two threshold settings. We can see that Precision is improved when the retrieved entities that do not belong to any of the predicted types are filtered out. The improvement is 6.1% and 5.8% when θ is set to 0.15 and 0.01 respectively. Meanwhile, although the total number of matches may decrease because of the filtering, the number of correct matches still increases from 396 to 404 (θ=0.01). This means that Recall is also improved.