Abstract: "Deep-syntactic" dependency structures that capture the argumentative, attributive and
coordinative 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 dened over all words of a sentence and
language-specic grammatical functions) and the output of a semantic parser (forests of
trees dened over individual lexemes or phrasal chunks and abstract semantic role labels
which capture the frame structures of predicative elements and drop all attributive and
coordinative dependencies). In this talk, we will discuss some advantages of deep-syntactic
structures and present a parsing approach that provides deep syntactic structures.
The seminar is supported by Vilem Mathesius Foundation.