We would like to describe the relationship between word sense disambiguation (WSD) and language resources (LR) working with word senses. We discuss the problem of sense division and tagging. Exploiting specific features of the inflectional languages for WSD is encouraged. We present WSD methods for Czech ambiguous nouns. The advantage of these methods consists in reducing the manual work by using a synonym training set. They could be utilized for building a semantically annotated corpus or gaining glosses for Czech WordNet
WSD definition WSD is a task to identify the intended sense of a word in a computational manner base...
The present paper explores a wide range of word sense disambiguation (WSD) algorithms for German. Th...
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a comp...
Abstract: Word sense disambiguation (WSD) is the process of automatically clarifying the meaning of ...
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correc...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
Word Sense Disambiguation (WSD) is the task of identifying the meaning of a word in a given context....
Abstract- Word sense disambiguation is concerned with determining correct meaning of word in a given...
Word Sense Disambiguation (WSD) is an important area which has an impact on improving the performanc...
In this paper we present the Word Sense Disambiguation Development Environment (WSDDE), a platform f...
The subject of this dissertation is boosting research on word sense disambiguation (WSD) for German....
Abstract—Word Sense Disambiguation is a challenging technique in Natural Language Processing. There ...
We present an unsupervised learning strategy for word sense disambiguation (WSD) that exploits multi...
WSD definition WSD is a task to identify the intended sense of a word in a computational manner base...
The present paper explores a wide range of word sense disambiguation (WSD) algorithms for German. Th...
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a comp...
Abstract: Word sense disambiguation (WSD) is the process of automatically clarifying the meaning of ...
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correc...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural lan...
Word Sense Disambiguation (WSD) is the task of identifying the meaning of a word in a given context....
Abstract- Word sense disambiguation is concerned with determining correct meaning of word in a given...
Word Sense Disambiguation (WSD) is an important area which has an impact on improving the performanc...
In this paper we present the Word Sense Disambiguation Development Environment (WSDDE), a platform f...
The subject of this dissertation is boosting research on word sense disambiguation (WSD) for German....
Abstract—Word Sense Disambiguation is a challenging technique in Natural Language Processing. There ...
We present an unsupervised learning strategy for word sense disambiguation (WSD) that exploits multi...
WSD definition WSD is a task to identify the intended sense of a word in a computational manner base...
The present paper explores a wide range of word sense disambiguation (WSD) algorithms for German. Th...
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a comp...