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 us...

Ontology mapping plays an important role in interoperability over ontologies. Many researchers have proposed algorithms and tools for (semi-)automatically mapping one concept to another concept. Among them, WordNet is widely used as the domain knowledge support in the mapping process. To our knowledge, however, most of them only use synonym, hypernym and hyponym relations in WordNet and the act...

Lots of research had been conducted on àrokò, a symbolic and nonverbal/verbal means communication among the Yorùbá. While àrokò as hyponym ààlè super-ordinate have not studied much. It is in this gap literature that paper attempts pragma-semiotic analysis Yorùbá concept ààlè. Data for were gathered through participant observation informal questions technique where these used. Mey's (2001) pragm...

Semantic similarity measurement of multilingual words is a challenging problem in data mining, information extraction, information retrieval, etc. This paper introduces an algorithm to measure the semantic similarity of Chinese-English bilingual words based on Chinese WordNet, an expansion of WordNet in Simplified Chinese. The algorithm not only measures the semantic similarity for Chinese and ...

This paper introduces new specificity measuring methods of terms using inside and outside information. Specificity of a term is the quantity of domain specific information contained in the term. Specific terms have a larger quantity of domain information than general terms. Specificity is an important necessary condition for building hierarchical relations among terms. If t1 is a hyponym of t2 ...

Although many algorithms have been developed to harvest lexical resources, few organize the mined terms into taxonomies. We propose (1) a semi-supervised algorithm that uses a root concept, a basic level concept, and recursive surface patterns to learn automatically from the Web hyponym-hypernym pairs subordinated to the root; (2) a Web based concept positioning procedure to validate the learne...

Collocations are defined as syntactically connected and semantically compatible pairs of content components, like Spanish prestar atención ‘give attention’, presidente del país ‘president of the country’, país grande ‘large country’ or muy bien ‘very well’. The collocation databases are important for numerous applications of computational linguistics. A small system storing Spanish collocations...

Recently research in automatic ontology construction has become a hot topic, because of the vision that ontology will be the core component to realize the semantic web. This paper presents a method to automatically construct ontology by mining the web. We introduce an algorithm to automatically acquire hypernyms and hyponyms for any given lexical term using search engine and natural language pr...

In this paper, we propose a method for multi-term query expansions based on WordNet. In our approach, Hypernym/Hyponymy and Synonym relations in WordNet is used as the basic expansion rules. Then we use WordNet Lexical Chains and WordNet semantic similarity to assign terms in the same query into different groups with respect to their semantic similarities. For each group, we expand the highest ...