AN APPROACH TO CONTEXT-DEPENDENT LEXICAL AND SYNTACTIC AMBIGUITY RESOLUTION IN ONTOLOGY POPULATION
Nataliya Garanina, Елена Сидорова · Bulletin of the Novosibirsk Computing Center Series Computer Science · 2016
We suggest an approach to the resolution of context-dependent lexical and syntactic ambiguity in a framework of ontology population from natural language texts.We show that a set of maximally determined ontology instances can be represented as a Scott information system with an entailment relation as a collection of information connections.Moreover, consistent primary lexical instances form FCA-concepts.These representations are used to justify the correctness of lexical disambiguation and to define syntactic ambiguity and its resolution.This information system generates a multi-agent system in which agents resolve the ambiguity of both types.