Extracting knowledge-rich contexts for terminography
Ingrid Meyer · Natural language processing · 2001
Knowledge-rich contexts express conceptual information for a term. Terminographers need such contexts to construct definitions, and to acquire domain knowledge. This paper summarizes what we have learned about extracting knowledge-rich contexts semi-automatically. First, we define the concept of a knowledge-rich context, its major types and its components. Second, we describe a methodology for developing extraction tools that is based on lexical, grammatical and paralinguistic patterns. Third, we outline the most problematic research issues that must be addressed before semi-automatic knowledge extraction can become a fully mature field.