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We present a novel, data-driven method for integrated shallow and deep parsing. Mediated by an XML-based multi-layer annotation architecture, we interleave a robust, but accurate stochastic topological field parser of German with a constraint-based HPSG parser. Our annotation-based method for dovetailing shallow and deep phrasal constraints is highly(More)
f ur K unstliche Intelligenz GmbH, DFKI) in the Computational Linguistics area. I am grateful to these institutes for their support. Many, many people have helped me not to get lost during the development of this thesis. Hans Uszkoreit, my main supervisor, provided a motivating, enthusiastic, and critical atmosphere during the many discussions we had. It(More)
We describe a novel method for coping with un-grammatical input based on the use of chart-like data structures, which permit anytime processing. Priority is given to deep syntactic analysis. Should this fail, the best partial analyses are selected, according to a shortest-paths algorithm, and assembled in a robust processing phase. The method has been(More)
This paper describes new and improved techniques which help a unification-based parser to process input efficiently and robustly. In combination these methods result in a speed-up in parsing time of more than an order of magnitude. The methods are correct in the sense that none of them rule out legal rule applications. 1 Introduction This paper describes(More)
Large-scale grammar-based parsing systems nowadays increasingly rely on independently developed, more specialized components for pre-processing their input. However, different tools make conflicting assumptions about very basic properties such as tokenization. To make linguistic annotation gathered in pre-processing available to 'deep' parsing, a hybrid NLP(More)
For robots to interact effectively with human users they must be capable of coordinated, timely behavior in response to social context. The Adaptive Strategies for Sustainable Long-Term Social Interaction (ALIZ-E) project focuses on the design of long-term, adaptive social interaction between robots and child users in real-world settings. In this paper, we(More)
We present an architecture for the integration of shallow and deep NLP components which is aimed at flexible combination of different language technologies for a range of practical current and future applications. In particular, we describe the integration of a high-level HPSG parsing system with different high-performance shallow components, ranging from(More)
trum f ¨ ur K ¨ unstliche Intelligenz, DFKI) with sites in Kaiserslautern and Saarbrücken is a non-profit organization which was founded in 1988. The shareholder com-search projects conducted at the DFKI are funded by the German Ministry for Research and Technology, by the shareholder companies, or by other industrial contracts. The DFKI conducts(More)
We describe a novel application for structured search in scientific digital libraries. The ACL Anthology Searchbench is meant to become a publicly available research tool to query the content of the ACL Anthology. The application provides search in both its bibliographic metadata and semantically analyzed full tex-tual content. By combining these two(More)