Browsing by Author "Bohnet, Bernd"

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  • Data-driven deep-syntactic dependency parsing
    Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon; Wanner, Leo (Cambridge University Press, 2016)
    ‘Deep-syntactic’ dependency structures that capture the argumentative, attributive and co-/nordinative relations between full words of a sentence have a great potential for a number/nof NLP-applications. The abstraction ...
  • Data-driven sentence generation with non-isomorphic trees
    Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon; Wanner, Leo (ACL (Association for Computational Linguistics), 2015)
    Abstract structures from which the generation naturally starts often do not contain any functional nodes, while surface-syntactic structures or a chain of tokens in a linearized tree contain all of them. Therefore, data-driven ...
  • Finding dependency parsing limits over a large Spanish Corpus
    Padró, Muntsa; Ballesteros, Miguel; Martínez, Héctor; Bohnet, Bernd (ACL (Association for Computational Linguistics), 2013)
    This paper studies the performance of different parsers over a large Spanish treebank. The aim of this work is to assess the limitations of state-of-the-art parsers. We want to select the most appropriate parser for ...
  • Visualizing deep-syntactic parser output
    Soler Company, Juan; Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon; Wanner, Leo (ACL (Association for Computational Linguistics), 2015)
    “Deep-syntactic” dependency structures bridge the gap between the surface-syntactic structures as produced by state-of-the-art dependency parsers and semantic logical forms in that they abstract away from surfacesyntactic ...