In contrast to computational and linguistics lexica, the human cognitive lexicon combines the knowledge required to support (traditional) symbolic logic-based semantics and semantics with the (computation-oriented) statistical word distribution information into a single 'lexico-semantic lexicon' that can be used for a variety of tasks. This talk brings together various related topics, including Pantel-style resources like DIRT, inferences / expectations such as those used in Schank-style expectation-based parsing and expectation-driven NLU, PropBank-style word valence lexical items, Shannon's information theory, etc.