Add to ORKGDomain terms are a useful mean for tuning both resources and NLP processors to domain specific tasks. This paper proposes an improved method for obtaining terms from potentially any domain using the Wikipedia graph structure as a knowledge source and the result of enriching WordNet with extended WordNet domains
WordNet is the most widely used lexical resource for English, while Wikidata is one of the largest k...
Even though many NLP resources and tools claim to be domain independent, their application to specif...
AbstractA knowledge base for real-world language processing applications should consist of a large b...
Domain terms are a useful resource for tuning both resources and NLP processors to domain specific t...
In this paper we present the mapping between WordNet domains and WordNet topics, and the emergent Wi...
Abstract. WordNet Domains (WND) is a lexical resource where synsets have been semi-automatically ann...
We present a simple but effective method of automatically extracting domain-specific terms using Wik...
The objective of this paper is to present a method to automatically enrich WordNet with sub-trees of...
Lexical knowledge bases (LKBs), such as WordNet, have been shown to be useful for a range of languag...
Lexical resource differ from encyclopaedic resources and represent two distinct types of resource co...
Domain information has been regarded as an emerg-ing topic of interest in relation to WordNet. A lex...
The continuous expansion of the multilingual information society has led in recent years to a pressi...
We present a knowledge-rich methodology for disambiguating Wikipedia categories with WordNet synsets...
As a well-known semantic repository, WordNet is widely used in many applications. However, due to co...
The continuous expansion of the multilingual information society has led in recent years to a pressi...
WordNet is the most widely used lexical resource for English, while Wikidata is one of the largest k...
Even though many NLP resources and tools claim to be domain independent, their application to specif...
AbstractA knowledge base for real-world language processing applications should consist of a large b...
Domain terms are a useful resource for tuning both resources and NLP processors to domain specific t...
In this paper we present the mapping between WordNet domains and WordNet topics, and the emergent Wi...
Abstract. WordNet Domains (WND) is a lexical resource where synsets have been semi-automatically ann...
We present a simple but effective method of automatically extracting domain-specific terms using Wik...
The objective of this paper is to present a method to automatically enrich WordNet with sub-trees of...
Lexical knowledge bases (LKBs), such as WordNet, have been shown to be useful for a range of languag...
Lexical resource differ from encyclopaedic resources and represent two distinct types of resource co...
Domain information has been regarded as an emerg-ing topic of interest in relation to WordNet. A lex...
The continuous expansion of the multilingual information society has led in recent years to a pressi...
We present a knowledge-rich methodology for disambiguating Wikipedia categories with WordNet synsets...
As a well-known semantic repository, WordNet is widely used in many applications. However, due to co...
The continuous expansion of the multilingual information society has led in recent years to a pressi...
WordNet is the most widely used lexical resource for English, while Wikidata is one of the largest k...
Even though many NLP resources and tools claim to be domain independent, their application to specif...
AbstractA knowledge base for real-world language processing applications should consist of a large b...