This thesis presents a framework for domain specific text- to-knowledge acquisition, with focus on medical domain. The main challenge of this domain is the abundance of lin- guistic phenomena that require both syntactic and semantic information in order to “understand” the meaning of the text, and thus to acquire knowledge. Examples include prepo- sitional phrases, coordinations, noun-noun compounds and nominalizations, phenomena which are not well covered by existing syntactic or semantic parsers.
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