Sentence examples for multiple semantic objects from inspiring English sources

Multiple semantic objects can share annotation to imply relationships.

To learn from MIML examples, we propose the MimlBoost and MimlSvm algorithms based on a simple degeneration strategy, and experiments show that solving problems involving complicated objects with multiple semantic meanings in the MIML framework can lead to good performance.

Compared to traditional learning frameworks, the MIML framework is more convenient and natural for representing complicated objects which have multiple semantic meanings.

The chapter also covers the syntactic and semantic processing of sentences to deliver semantic objects suitable for referring, inferring, and other related functions.

The authors have defined their semantic objects in mathematical notation that is completely independent of Standard ML.

Multiple semantic relationship types may share structural relationship types, as IS-A, Ownership, Part-of, Reference,...

Creation of continuous semantic objects.

External information can serve either as "virtual" semantic objects, or as "read-only" annotation of semantic objects.