The automated analysis of natural language data has become a central issue in the
design of intelligent information systems. Processing unconstrained natural language
data is still considered as an AI-hard task. However, various analysis techniques have
been proposed to address specific aspects of natural language. In particular, recent
interest has been focused on providing approximate analysis techniques, assuming
that when perfect analysis is not possible, partial results may be still very useful.
Special issue on future directions for intelligent information systems
