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Exact(9)
The developed algorithm allows for the extraction of relationships between the prediction and the patterns that the model is using to make it.
The most important aspect in this context is an extraction of relationships between a large number of objects (chemical compounds, datasets, models and users).
As future work, we will investigate the automatic extraction of relationships between entities, exploiting the relationship annotation that has been added by our expert annotators.
Thus, our methodology faces both challenges by (1) the identification of biomarker and disease entities by means of the BioNER system and (2) the extraction of relationships between these entities by cooccurrence in sentences.
Good performance can now be obtained for these tasks, which paves the way for efforts geared toward more complex tasks (12), including the extraction of relationships between entities, concepts and databases.
In addition, several of the systems, e.g. PubTator (30), in the Interactive Track (Track III) are working hand in hand with biological database curators to provide extraction of a wider range of biological entities (e.g. drugs, diseases), as well as extraction of relationships between these entities along with pointers to the underlying evidence.
Similar(51)
The extraction of simple relationships.
The extraction of the relationships between these entities is covered in many applications of biomedical text mining, such as the extraction of gene-drug relationships ([68, 69], extraction of drug-protein relationships [70], relationship between chemicals and diseases [71] and the relationships between chemical-gene-disease [72].
Automatic extraction of semantic relationships among Arabic concepts to formulate ontology models is crucial for providing rich semantic metadata.
This paper concerns optimization of procedures and algorithms for extraction of stress strain relationships from quasi-static nanoindentation experiments, using finite element method modelling.
DOG4DAG only deals with extraction of parent child relationships.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com