Sentence examples for automatic figures from inspiring English sources

Moreover, they require protein sequences as input, but our simulated data sets are DNA only and do not necessarily correspond to realistic proteins, since CHAP 2's orthology calls are not gene based (the automatic figures use genes as convenient illustrative groupings that are likely to be meaningful and interesting to see, but the orthology algorithms make very little use of gene information).

Such inconsistency in annotation leads to decreased performance of our automatic figure ranking systems.

We evaluated our centrality-based unsupervised methods for automatic figure ranking.

We explored natural language processing (NLP) approaches for automatic figure ranking.

We introduced two new metrics(MWER-RK and WER-HR) for evaluating our different automatic figure ranking systems.

This collection of 202 annotated full-text articles was used to evaluate our NLP approaches for automatic figure ranking as described in the following section.

The evaluation results conclude that automatic figure ranking and user interfacing as we reported in this study can be fully implemented in online publishing.

With our automatic figure ranking NLP system, bioscience researchers preferred the UIs in which the most important figures were predicted by our NLP system than the UIs in which the most important figures were randomly assigned.

In addition, our results show that there was no statistical difference in bioscience researchers' preference in the UIs generated by automatic figure ranking and UIs by human ranking annotation.

It suggests that our non-perfect automatic figure ranking system can still be of significant utility to bioscience researchers when being integrated into our novel user interface, although more extensive evaluation is still needed for further validation.

This also further proves the effectiveness of both our automatic figure ranking and proposed new UI as well as the feasibility and robustness of integrating them to facilitate information browsing in biological domain.