Sentence examples for solving ambiguities from inspiring English sources

Some work also focuses on improving the appearance model for solving ambiguities, e.g. by implementing an online learning approach for discriminative appearance models [20, 21].

In the field of knowledge representation another important possibility deriving from the formal ontology application is its capability of solving ambiguity cases in human language.

To solve ambiguities, they proposed a process called deductive linking.

The absence of stronger semantics makes it difficult to solve ambiguities caused by synonymy and polysemy which are common to natural languages.

Mitochondrial data were also used to solve ambiguities due to multiple parental allocations, thus compatible parent-pair profiles were discarded if there was no concordance between maternal and F1 mitochondrial haplotype.

In these cases alternative methods may be helpful to solve ambiguities.

By inspection of the raw data we were then able to solve ambiguities.

A discussion process between two coders was set up to foster the understanding of the data and to solve ambiguities in establishing themes [ 17, 18].

Both procedures are based on extreme opposite choices to solve ambiguities, and it is a good practice to run both and compare the results to check that they are (nearly) identical.

When we find words with different meanings, a structured formal ontology can help us to solve ambiguity problems (Evans and Frankish 2008; Frixione and Frankish 2013).

However, these semi-global local stereo matching methods still cannot totally solve ambiguity problems, which could come from census transform [21, 22, 24] and local support windows [23].