Object-oriented semantics of English in natural language understanding system

TL;DR

This paper introduces an object-oriented semantic framework for natural language understanding focused on social behavior, translating English sentences into predicate sets within a semantic database.

Contribution

It presents a novel object-oriented approach to semantic representation, integrating a comprehensive knowledge base for social behavior in natural language understanding systems.

Findings

Effective translation of sentences into semantic predicates

Rich knowledge base covering social and physical objects

Enhanced understanding of social behavior in NLP systems

Abstract

A new approach to the problem of natural language understanding is proposed. The knowledge domain under consideration is the social behavior of people. English sentences are translated into set of predicates of a semantic database, which describe persons, occupations, organizations, projects, actions, events, messages, machines, things, animals, location and time of actions, relations between objects, thoughts, cause-and-effect relations, abstract objects. There is a knowledge base containing the description of semantics of objects (functions and structure), actions (motives and causes), and operations.