Sentence examples for curators evaluation from inspiring English sources

For BioCreative IV, a participating team defined a topic and tasks for curators' evaluation.

Validators were informed of the curator's evaluation and suggested corrections, and given further opportunity to comment.

Before performing the evaluation, curators received a brief tutorial on how to use the curation form.

To perform the evaluation, curators used a Web-based annotation form.

For the evaluation, the curators assigned each candidate annotation in the sample to one of eight categories as follows.

Nevertheless, only a realistic evaluation by curators could determine the potential of such machine learning approaches in a semi or fully automatic workflow.

The two curators performing the dictyBase evaluation were able to make annotations from the four-category search with precision of 78.3 and 77.8% and recall of 37.1 and 14.5%, respectively (F-scores: 50.3 and 24.4%, respectively).

AIMED corpus specific to interactions related to human proteins HPRD50 corpus specific to human proteins interactions derived dataset from IntAct database with 693 sentences related to human proteins/genes interactions Curators' own dataset and evaluations provided by curators.

For the TAIR evaluation, the curator was able to make annotations from the four-category search with precision of 92.0% and recall of 46.0% (F-score: 61.3%) and annotations from the five-category search with precision of 91.3% and recall of 42.0% (F-score: 57.5%).

The BioCreative-2012 usevaluationinvolvedlved two curators recruited by the BioCreative organizers.

Furthermore, we use the PPInterFinder evaluation given by curators with their own datasets before and during BioCreative workshop 2012 at Washington DC, on 4 5 April 2012 (http://www.biocreative.org/tasks/bc-workshop-2012/Interactive_TM/ .org/tasks/bc-workshop-2012/Interactive_TM/ .org/tasks/bc-workshop-2012/Interactive_TM/