In this paper we present the design, implementation and evaluation of SOBA, a system for
ontology-based information extraction from heterogeneous data resources, including plain …

The theoretical richness, formal rigor and computational versatility of Head-driven Phrase
Structure Grammar (HPSG) preclude any kind of in-depth coverage of its content within the …

The complexity of sentences characteristic to biomedical articles poses a challenge to
natural language parsers, which are typically trained on large-scale corpora of non-technical …

This article deals with the analysis of the German clause structure. The following aspects are
discussed: Verb last vs. verb initial sentences, fronting of constituents in verb second …

Large-scale grammar-based parsing systems nowadays increasingly rely on independently
developed, more specialized components for pre-processing their input. However, different …

We present a novel framework that combines strengths from surface syntactic parsing and
deep syntactic parsing to increase deep parsing accuracy, specifically by combining …

The research performed in the DeepThought project aims at demonstrating the potential of
deep linguistic processing if combined with shallow methods for robustness. Classical …

Abstract Information Extraction (IE) is a technology for localizing and classifying pieces of
relevant information in unstructured natural language texts and detecting relevant relations …

We describe basic concepts and software architectures for the integration of shallow and
deep (linguistics-based, semantics-oriented) natural language processing (NLP) …

This paper presents a comparative study of probabilistic treebank parsing of German, using
the Negra and TüBa-D/Z treebanks. Experiments with the Stanford parser, which uses a …