Workshop on Text Representation and Domain Modelling Ideas from Linguistics and AI
Susanne Preusz, Birte Schmitz · 1992
Text representation and domain modelling are two topics that are of emerging interest for natural language processing (NLP) systems. Text representation has to be included in NLP systems if one wants to overcome the limitations of processing single sentences only and domain modelling is necessary in order to supply the system with additional information that is needed for the disambiguation of linguistically possible structures. In artificial intelligence (AI) some amount of work has been done on these topics but not necessarily with applications in NLP in mind. Therefore it was the aim of this workshop to bring together scientists from the fields of Linguistics and AI in order to discuss such topics as: Is there a boundary between encyclopedic and linguistic knowledge? If we have such a boundary in our model, how do the encyclopedic and the linguistic levels interact? What kinds of knowledge bases do we need for special tasks in natural language processing, eg. machine translation? How can we build up a text representation? Are there any existing formalisms which are adequate for text representation? The participants of the workshop came from the areas of machine translation, knowledge engineering, systemic grammar, terminological logic, architecture for integrated speech-language-systems and discourse representation theory.