Hybrid Approach for the Interpretation of Nominal Compounds using Ontology
Sruti Rallapalli, Soma Paul · Institutional Repositories DataBase (IRDB) · 2012
Understanding and interpretation of nominal compounds has been a long-standing area of interest in NLP research for various reasons.(1) Nominal compounds occur frequently in most languages.(2) Compounding is an extremely productive word formation phenomenon.(3) Compounds contain implicit semantic relations between their constituent nouns.Most approaches that have been proposed so far concentrate on building statistical models using machine learning techniques and rely on large-scale, domain-specific or open-domain knowledge bases.In this paper we present a novel approach that combines the use of lexical hierarchies such as PurposeNet and WordNet, with WordNet-based similarity measures for the interpretation of domainspecific nominal compounds.We aim at building a robust system that can handle most of the commonly occurring English bigram nominal compounds within the domain.