Within large corpora of texts, Knowledge-Rich Contexts (KRCs) are a subset of sentences containing information that would be valuable to a human for the construction of a knowledge base. The entry point to the discovery of KRCs is the automatic identification of Knowledge Patterns (KPs) which are indicative of semantic relations. Machine readable dictionary serves as our starting point for investigating the types of knowledge embodied in definitions and some associated KPs. We then move toward corpora analysis and discuss issues of generality/specificity as well as KPs efficiency. We suggest an expansion of the lexical-syntactic definitions of KPs to include a semantic dimension, and we briefly present a tool for knowledge acquisition, SeRT, which allows user such flexible definition of KPs for automatic discovery of KRCs.
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