This paper describes our approach to build a language-independent hypernym extraction system, based on two modules for the SemEval-2016 Task 13 on Taxonomy Extraction Evaluation (TExEval-2). This task focuses only on the hypernym-hyponym relation extraction from a list of terms collected from various domains and languages. The first module of our system is built on the stateof-the-art system using BabelNet while the second one deals with the parts found within terms and which are useful to establish a hierarchical relation among them. Our system performed well in terms of recall in most of the domains irrespective of the languages; however, the precision scores indicate a scope of improvement. In case of overall ranking, our present system stands fourth in monolingual (i.e. English) evaluation and second in multilingual (i.e. Dutch, Italian, French) setup.
REF made a system called JUNLP which is based on two modules of detection of hyperonyms, the first deals with the semantic relations that can be found for a term and use BabelNet for the extraction of relations of hyponymy.
JUNLP at SemEval-2016 Task 13: A Language Independent Approach for Hypernym Identification
SemEval@NAACL-HLT
Computer Science