However, topic modelling is a scalable method that can be applied equally to very large document corpora, full-text analysis of publications and a much larger number of topics, and thus suggests topic modelling as a suitable method not only for a snapshot analysis but also for a continuous analysis of growing document sets.
> -wrap-foot> To extract gene expression events, we investigated training TEES on three models: CF-hESC corpus (6 full text documents), CF-Kidney corpus (6 full text documents) and a mix of both (12 full text documents) (hereafter called CF-Both).
The results show that the performance values on the BioS corpus, containing full patents, are demoted when using models trained on CEMP_T or CEMP_D, both of which contain patent abstracts and were annotated using a different annotation guideline.
The schema has been applied to a small corpus of full text journal publications on the subject of inherited colorectal cancer.
This schema aims to capture the core information relevant to genetic variant databases, and discussed the application of that schema to a small corpus of full text publications.
The schema has been applied to a small corpus of full text journal publications on the subject of inherited colorectal cancer, resulting in a resource for developing text mining systems that is unique in scope.
The entity "alkyl" is observed on both error lists of the corpora containing patent abstracts, and the entity "H" is found in both error lists of corpora containing full patents.
There are several similar cases in the corpora containing full patents.
In an extensive use-case, we applied our tests to the discovery of associations between categories from the Gene Ontology and the Celltype Ontology that were decorated with the number of occurrences and co-occurrences of the categories' labels in a large corpus of full-text articles.
We address the problem of access to legacy mutation data in unstructured form through the creation of novel mutation impact extraction methods which are evaluated on a corpus of full-text articles on haloalkane dehalogenases, tagged by domain experts.
