Michael Schiehlen Institute for Computational Linguistics, University of Stuttgart, Azenbergstr. 12, 70174 Stuttgart [email protected]

An attempt is made to prepare Computational Linguistics for Situation Semantics.

The computational program for theoretical neuroscience proposed by Marr and Poggio [1] calls for a study of biological information processing on several distinct levels of abstraction. At each of these levels — computational (defining the problems and considering possible solutions), algorithmic (specifying the sequence of operations leading to a solution) and implementational — significant pro...

The goal of this paper is to present a particular type of lexicon, elaborated within a formal theory of natural language called Meaning-Text Theory (MTT). This theory puts strong emphasis on the development of highly structured lexica. Computational linguistics does of course recognize the importance of the lexicon in language processing. However, MTT probably goes further in this direction tha...

This paper addresses the methodology of ontology construction. It identifies five styles of approach to ontologizing (deriving from philosophy, cognitive science, linguistics, AI/computational linguistics, and domain reasoning) and argues that they do not provide the same results. It then provides a more detailed example of one of the approaches.

The MIT Encyclopedia of the Cognitive Sciences (MITECS) brings together 471 brief articles on a very wide range of topics within cognitive science. The general editors worked with advisory editors in six contributing fields, including Gennaro Chierchia on Linguistics and Language and Michael I. Jordan and Stuart Russell on Computational Intelligence. MITECS opens with excellent overview article...

I will try to position the fields of Linguistics and Computational Linguistics by examining their objects of research, their objectives, approaches, and success criteria , drawing on the concepts shown in the text cloud below. This should give a clearer view of the commonalities, differences and potential synergies.

Emdros is a text database engine for linguistic analysis or annotation of text. It is appliccable especially in corpus linguistics for storing and retrieving linguistic analyses of text, at any linguistic level. Emdros implements the EMdF text database model and the MQL query language. In this paper, I present both, and give an example of how Emdros can be useful in computational linguistics.

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