Sentence examples for text association from inspiring English sources

Significant domain knowledge is needed to create digital corpora of ancient Buddhist texts and it is not surprising that all significant Buddhist corpora were created by dedicated institutions, such as the Chinese Buddhist Text Association (CBETA) in Taiwan, the SAT Daizōkyō Text Database in Japan, or the Research Institute of Tripitaka Koreana in Korea.

We believe infectious diseases can act as an illustrative example of the broader potential for multi-scale text association studies in biology and translational research.

Using the text associations, Jelveh, Kogut, and Naidu are able to "predict the ideology of any economist not in [the] original sample by feeding his or her body of work into [their] algorithm" (2014).

The exported filtered text associations can be used as immediate POMO inputs as well.

Existing solutions commonly use text clustering, association rule mining, or latent semantic models for topic discovery.

We do not consider these relationships when comparing the text-mined associations to the associations produced using the GSC and GSO methods.

"He knew the role on the book, so it was a question of helping him memorize: retranslating the text, cementing associations, finding additional levels of interest.

The writer also groups these two buildings together with another, "the Space Needle", and through such clustering or text-level association, implies that these buildings are all similarly flawed and no loss to society.

As expected, there is a drop in performance compared with including the text-mined association but ExomeWalker still shows a substantial improvement over purely variant-based measures of candidacy.

STRING includes text-mined associations between genes and it is possible some of these associations may come from publications describing two genes being associated with the same disease, rather than the biological associations we are trying to detect with our simulation studies.

The overlap between the GSC and text-mined associations is significant for diseases with three or more associated genes.