Sentence examples for per relation from inspiring English sources

We conducted the test by varying the minimum number of instances per relation (hereafter, MIpR).

Now we formulate the per-relation evaluation metrics.

On the other hand, the per-relation recall gradually improves up to 82% in group 5.

Our approach achieved the highest precision in both per-relation and per-instance evaluations.

To address this problem, we introduced a new "per-relation" basis evaluation method.

Finally, we turn to define the per-relation precision, recall, and F-score as follows.

In this work, we introduce a "per-relation" basis performance evaluation method.

The per-relation precision is around 95-96% and the per-instance precision is around 94-97%.

We show that our algorithm not only achieves better per-relation performance than previous solutions but also serves as a good complement to the existing PPI extraction tools.

However, because of the coarsely defined rules, they produce large numbers of false positives, making them inapplicable to use cases where "per-relation" precision is important.

As shown in Table 2, our rule-based approach exhibits the highest precision in all groups in both per-relation and per-instance evaluations.