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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)
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)
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)
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)
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)
We describe a conversational system for child-robot interaction built with an event-based integration approach using the Nao robot platform with the Urbi middleware within the ALIZ-E project. Our integrated system includes components for the recognition, interpretation and generation of speech and gestures , dialogue management and user modeling. We(More)