With Syn2Sem, semantic relations between notions that are communicated in a text are identified using syntactic patterns. As such, it is organized based on the traditional distinction between syntax and semantics: a semantic relation, such as "causation" would be captured by a corresponding syntactic relation, that is, a group of grammatical patterns that should reflect causation in a given language.
Syn2Sem follows a NLP approach using part-of-speech tagging and dependency parsing based on the spaCy library.