Implementing a Semantic Lexicon

The human lexicon is emerging as the single most important aspect of modern NLP applications. Current research focus ranges from the organization and structure of lexicons to fleshing it out with lexical entries with their full semantics. We have implemented a model of the human lexicon that addresses the automatic acquisition of the lexicon as well as the representation of the semantic content of individual lexical entries. We have used Conceptual Structures as the representation scheme. The system analyzes paragraphs of English sentences, maps the extracted lexical and semantic knowledge to CS graphs, and reasons about them. The system augments its vocabulary by using a persistency mechanism that restores the previously defined lexical items in later sessions.

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