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From these relations, we extracted the interacting entity (the second term in those interactions).
We consider three approaches for addressing automatic extraction of interacting entity pairs from free text, described in the following.
An example annotation is shown in Box 1. Table 2 shows the number of annotated concepts in the training and test corpora for each entity class and the count for manually extracted relations (triplets), categorized for different interacting entity pairs.
We restrict the relationship extraction to sentence level and four different interacting entity pairs: S pecific miRNA-D isease (SpMiR-D), S pecific miRNA-G ene/P rotein (SpMiR-GP), N on-S pecific miRNA-D isease (NonSpMiR-D), and N on-S pecific miRNA-G ene/P rotein (NonSpMiR-GP).
The text available in manuscript is provided below: "We restrict the relationship extraction to sentence level and four different interacting entity pairs: S pecific miRNA-D isease (SpMiR-D), S pecific miRNA-G ene/P rotein (SpMiR-GP), N on-S pecific miRNA-D isease (NonSpMiR-D), and N on-S pecific miRNA-G ene/P rotein (NonSpMiR-GP).
R3 The device can attest its consistent good behavior, either directly with an interacting entity, or indirectly, through a trusted third party.
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In service oriented computing, service providers and service requesters are main interacting entities.
The observable items are then used to designate the level of awareness between the interacting entities.
To this end, a proper interface between the QoS interacting entities has been developed.
In this way biological systems are represented as networks of interacting entities.
A network of software agents could emulate the nervous system, coordinate various activities and mediate amongst interacting entities.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com