"Deep-syntactic" dependency structures that capture the argumentative, attributive and coordi-native relations between full words of a sentence have a great potential for a number of NLP-applications. The abstraction degree of these structures is in-between the output of a syntactic dependency parser (connected trees defined over all words of a sentence and language-specific grammatical functions) and the output of a semantic parser (forests of trees defined over individual lexemes or phrasal chunks and abstract semantic role labels which capture the argument structure of predicative elements, dropping all attributive and coordinative dependencies). We propose a parser that delivers deep syntactic structures as output.
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