Learn More
Die vorliegende Arbeit wurde im Rahmen des Verbundvorhabens Verbmobil vom Bundes-ministerium f ur Bildung, Wissenschaft, Forschung und Technologie (BMBF) unter dem FF orderkennzeichen 01 IV 101 R geff ordert. Die Verantwortung f ur den Inhalt dieser Arbeit liegt bei dem Autor.
Computational semantics is the study of how to represent meaning in a way that computers can use. For the authors of this textbook, this study includes the representation of the meaning of natural language in logic formalisms, the recognition of certain relations that hold within this formalization (such as synonymy, consistency, and implication), and the(More)
The statistical modelling of language, together with advances in wide-coverage grammar development, have led to high levels of robustness and efficiency in NLP systems and made linguistically motivated large-scale language processing a possibility (Matsuzaki et al., 2007; Kaplan et al., 2004). This paper describes an NLP system which is based on syntactic(More)
This paper shows how to construct semantic representations from the derivations produced by a wide-coverage CCG parser. Unlike the dependency structures returned by the parser itself, these can be used directly for semantic interpretation. We demonstrate that well-formed semantic representations can be produced for over 97% of the sentences in unseen WSJ(More)
Boxer is an open-domain software component for semantic analysis of text, based on Combinatory Categorial Grammar (CCG) and Discourse Representation Theory (DRT). Used together with the C&C tools, Boxer reaches more than 95% coverage on newswire texts. The semantic representations produced by Boxer, known as Discourse Representation Structures (DRSs),(More)
The DIPPER architecture is a collection of software agents for prototyping spoken dialogue systems. Implemented on top of the Open Agent Architecture (OAA), it comprises agents for speech input and output, dialogue management, and further supporting agents. We define a formal syntax and semantics for the DIPPER information state update language. The(More)
Wide-coverage and robust NLP techniques always seemed to go hand in hand with shallow analyses. This was certainly true a couple of years ago, but the state-of-the-art in stochastic approaches has advanced considerably and nowadays there are sophisticated parsers available achieving high coverage and producing accurate syntactic analyses. It seems we have(More)