The (not so) unbearable fuzziness of natural language: The ontological semantic way of computing with words
Victor Raskin, Julia M. Taylor · 2009
Extending the idea of computing with words in place of numbers to computing with words in a free, unstructured text, the paper presents the ontological semantics theory, methodology and technology for accessing, formally representing, and computing natural language to achieve a near-human understanding of it. It also demonstrates how ontological semantics handles various types of uncertainty, fuzziness, and vagueness that are built into natural language and are mostly happily ignored by the native speakers. The paper appears to be the first attempt ever to directly relate fuzzy sets/logic to the full-scale meaning-based approach to natural language and it computational processing.