Add to ORKGThis paper presents a new method to enrich semantically WordNet with categories from general domain classification systems. The method is performed in two consecutive steps. First, a lexical knowledge word sense disambiguation process. Second, a set of rules to select the main concepts as representatives for each category. The method has been applied to label automatically WordNet synsets with Subject Codes from a standard news agencies classification system. Experimental results show than the proposed method achieves more than 95 % accuracy selecting the main concepts for each category
With the proliferation of applications sharing information represented in multiple ontologies, the d...
We propose to use WordNet in the context of a news recommendation system on the web. Docu-ments pass...
Unsupervised and Supervised Exploitation of Semantic Domains in Lexical Disambiguation Domains are...
Abstract. This paper presents a new method to enrich semantically WordNet with categories from gener...
Knowledge-based Word sense Disambiguation (WSD) methods heavily depend on knowledge. Therefore enric...
Abstract. WordNet Domains (WND) is a lexical resource where synsets have been semi-automatically ann...
This paper describes a rule-based methodology for word sense disambiguation and an application of th...
The term of word sense disambiguation, WSD, is introduced in the context of text document processing...
In this paper we present a novel approach to learning semantic models for multiple domains, which we...
The objective of this paper is to present a method to automatically enrich WordNet with sub-trees of...
Abstract Despite the advances in information processing systems, word-sense disambiguation tasks ar...
With the proliferation of applications sharing information represented in multiple ontologies, the d...
Domains are common areas of human discussion, such as economics, politics, law, science, etc., which...
Lexicon definition is one of the main bottlenecks in the development of new applications in the fiel...
Abstract. This paper explores a fully automatic knowledge-based method which performs the noun sense...
With the proliferation of applications sharing information represented in multiple ontologies, the d...
We propose to use WordNet in the context of a news recommendation system on the web. Docu-ments pass...
Unsupervised and Supervised Exploitation of Semantic Domains in Lexical Disambiguation Domains are...
Abstract. This paper presents a new method to enrich semantically WordNet with categories from gener...
Knowledge-based Word sense Disambiguation (WSD) methods heavily depend on knowledge. Therefore enric...
Abstract. WordNet Domains (WND) is a lexical resource where synsets have been semi-automatically ann...
This paper describes a rule-based methodology for word sense disambiguation and an application of th...
The term of word sense disambiguation, WSD, is introduced in the context of text document processing...
In this paper we present a novel approach to learning semantic models for multiple domains, which we...
The objective of this paper is to present a method to automatically enrich WordNet with sub-trees of...
Abstract Despite the advances in information processing systems, word-sense disambiguation tasks ar...
With the proliferation of applications sharing information represented in multiple ontologies, the d...
Domains are common areas of human discussion, such as economics, politics, law, science, etc., which...
Lexicon definition is one of the main bottlenecks in the development of new applications in the fiel...
Abstract. This paper explores a fully automatic knowledge-based method which performs the noun sense...
With the proliferation of applications sharing information represented in multiple ontologies, the d...
We propose to use WordNet in the context of a news recommendation system on the web. Docu-ments pass...
Unsupervised and Supervised Exploitation of Semantic Domains in Lexical Disambiguation Domains are...