Word Sense Disambiguation (WSD) is the task of identifying the intended sense of a word in a computational manner based on the context in which it appears. Understanding the ambiguity of natural languages is considered an AI-hard problem. Computational problems like this are the central objectives of Artificial Intelligence (AI) and Natural Language Processing (NLP) because they aim to solve the epistemological question of how the mind works. It has been studied since the beginning of NLP, and today is a central topic of this discipline
There has been a tradition of combining differ-ent knowledge sources in Artificial Intelligence rese...
Abstract- Word sense disambiguation is concerned with determining correct meaning of word in a given...
Abstract—Word Sense Disambiguation is a challenging technique in Natural Language Processing. There ...
ABSTRACT: Ambiguity and human language have been tangled since the rise of philological communicatio...
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a comp...
Word Sense Disambiguation (WSD) is an important area which has an impact on improving the performanc...
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...
Abstract: Word sense disambiguation (WSD) is the process of automatically clarifying the meaning of ...
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 process of computationally identifying and labeling poly- sem...
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the tradi...
There has been a tradition of combining different knowledge sources in Artificial Intelligence resea...
Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural ...
There has been a tradition of combining differ-ent knowledge sources in Artificial Intelligence rese...
Abstract- Word sense disambiguation is concerned with determining correct meaning of word in a given...
Abstract—Word Sense Disambiguation is a challenging technique in Natural Language Processing. There ...
ABSTRACT: Ambiguity and human language have been tangled since the rise of philological communicatio...
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a comp...
Word Sense Disambiguation (WSD) is an important area which has an impact on improving the performanc...
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...
Abstract: Word sense disambiguation (WSD) is the process of automatically clarifying the meaning of ...
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 process of computationally identifying and labeling poly- sem...
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the tradi...
There has been a tradition of combining different knowledge sources in Artificial Intelligence resea...
Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural ...
There has been a tradition of combining differ-ent knowledge sources in Artificial Intelligence rese...
Abstract- Word sense disambiguation is concerned with determining correct meaning of word in a given...
Abstract—Word Sense Disambiguation is a challenging technique in Natural Language Processing. There ...