Abstract

KRISP is a representation system and set of interpretation protocols that is used in the Sparser natural language understanding system to embody the meaning of texts and their pragmatic contexts. It is based on a denotational notion of semantic interpretation, where the phrases of a text are directly projected onto a largely pre-existing set of individuals and categories in a model, rather than first going through a level of symbolic representation such as a logical form. It defines a small set of semantic object types, grounded in the lambda calculus, and it supports the principle of uniqueness and supplies first class objects to represent partially-saturated relationships.KRISP is being used to develop a core set of concepts for such things as names, amounts, time, and modality, which are part of a few larger models for domains including Who''s News and joint ventures. It is targeted at the task of information extraction, emphasizing the need to relate entities mentioned in new texts to a large set of pre-defined entities and those read about in earlier articles or in the same article.