Towards Context-adaptive Natural Language Processing Systems
Robert Porzel, Michael Strube · 2002
In this paper we will discuss several issues and requirements for enabling natural language processing systems to become context-adaptive. Given the fact that emerging systems feature speaker independent continuous speech recognition restricted to individual domains and are equipped with syntactic and semantic parsers for understanding input from these domains, we should begin to envision open multi-domain natural language processing systems. We will address the following issues arising in such open systems: How to divide natural language processing modules in context-variant and context-invariant components and how to enable the ensuing systems to detect contextual changes for processing the context-variant phenomena.