Sentence examples for per relations from inspiring English sources

In the process, the system produces on average 2.1 suggestions per relations and 19.85 suggestions per document.

Now we formulate the per-relation evaluation metrics.

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

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

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

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.

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

The two-tier approach generally improved the per-relation and per-instance recall of our rule-based model while substantially degrading its precision.

The performance of the baselines was improved in both per-relation and per-instance evaluations as we pipelined the negatively-labeled instances to our rule-based system.