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By utilizing multi-level context terms, our model shows better performance than the previous ABC model.
These biomedical terms can be treated as context terms of the interactions.
Lee, et al. [ 5] utilized context terms to achieve better precision.
In this section, we describe our approach to hidden interaction extraction using multi-level context terms.
Third, we explain the concept of context terms and the context similarity-based scoring method.
The average occurrence frequency for each context terms is defined to be a context term pattern for the interaction.
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The formulation of the proposed RBTO is established as a volume minimization problem under constraints established within the possibility context, termed as failure possibility constraints.
Additionally, it is possible to apply the context term weight (ctw) measure [51] to the terms.
Language-games are, first, a part of a broader context termed by Wittgenstein a form of life (see below).
Second, we extracted interactions from the entity set with context term vectors.
Strict scrutiny of relevance to the context was applied before acceptance of a term into the context term list.
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