The continuous expansion of the multilingual information society has led in recent years to a pressing demand for multilingual linguistic resources suitable to be used for different applications. In this paper we present the WordNet Domains Hierarchy (WDH), a language-independent resource composed of 164, hierarchically organized, domain labels (e.g. Architecture, Sport, Medicine). Although WDH has been successfully applied to various Natural Language Processing tasks, the first available version presented some problems, mostly related to the lack of a clear semantics of the domain labels. Other correlated issues were the coverage and the balancing of the domains. We illustrate a new version of WDH addressing these problems by an explicit ...
Abstract. We bootstrapped Chinese WordNet with semantic domain labels of WordNet Domains for constru...
This paper describes some preliminary results about Word Domain Disambiguation, a variant of Word Se...
A long time passed from the first word said by Homo sapiens to the first word said by a machine. The...
The continuous expansion of the multilingual information society has led in recent years to a pressi...
In this paper we present the mapping between WordNet domains and WordNet topics, and the emergent Wi...
WordNet Domains (WND) is a lexical resource where synsets have been semi-automatically annotated wit...
Abstract. WordNet Domains (WND) is a lexical resource where synsets have been semi-automatically ann...
This is a landmark book. For anyone interested in language, in dictionaries and thesauri, or natural...
This paper deals with the domain barrier issues in language processing. Our work centers on Domain L...
Because meaningful sentences are composed of meaningful words, any system that hopes to process natu...
Domain terms are a useful mean for tuning both resources and NLP processors to domain specific tasks...
The objective of this paper is to present a method to automatically enrich WordNet with sub-trees of...
Domain information has been regarded as an emerg-ing topic of interest in relation to WordNet. A lex...
Abstract: The task of providing dictionaries for all the world's languages is prodigious, re-q...
Abstract: The task of providing dictionaries for all the world's languages is prodigious, re-q...
Abstract. We bootstrapped Chinese WordNet with semantic domain labels of WordNet Domains for constru...
This paper describes some preliminary results about Word Domain Disambiguation, a variant of Word Se...
A long time passed from the first word said by Homo sapiens to the first word said by a machine. The...
The continuous expansion of the multilingual information society has led in recent years to a pressi...
In this paper we present the mapping between WordNet domains and WordNet topics, and the emergent Wi...
WordNet Domains (WND) is a lexical resource where synsets have been semi-automatically annotated wit...
Abstract. WordNet Domains (WND) is a lexical resource where synsets have been semi-automatically ann...
This is a landmark book. For anyone interested in language, in dictionaries and thesauri, or natural...
This paper deals with the domain barrier issues in language processing. Our work centers on Domain L...
Because meaningful sentences are composed of meaningful words, any system that hopes to process natu...
Domain terms are a useful mean for tuning both resources and NLP processors to domain specific tasks...
The objective of this paper is to present a method to automatically enrich WordNet with sub-trees of...
Domain information has been regarded as an emerg-ing topic of interest in relation to WordNet. A lex...
Abstract: The task of providing dictionaries for all the world's languages is prodigious, re-q...
Abstract: The task of providing dictionaries for all the world's languages is prodigious, re-q...
Abstract. We bootstrapped Chinese WordNet with semantic domain labels of WordNet Domains for constru...
This paper describes some preliminary results about Word Domain Disambiguation, a variant of Word Se...
A long time passed from the first word said by Homo sapiens to the first word said by a machine. The...