Abstract—Word Sense Disambiguation is a challenging technique in Natural Language Processing. There are some words in the natural languages which can cause ambiguity about the sense of the word.WSD identifies the correct sense of the word in a sentence or a document. The paper summarizes about the history of WSD. We have discussed about the knowledge- based and machine learning – based approaches for WSD. Various supervised learning and unsupervised learning techniques have been discussed. WSD is mainly used in Information Retrieval (IR), Informatio
Word Sense Disambiguation (WSD) is a significant issue in Natural Language Processing (NLP). WSD ref...
Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural ...
Abstract — lexical ambiguity is a fundamental characteristic of language. Words can have more than o...
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correc...
Abstract — Word sense disambiguation is a technique in the field of natural language processing wher...
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...
The purpose of word sense disambiguation (WSD) is to find the meaning of the word in any context wit...
AbstractWord Sense Disambiguation (WSD) is the task of identifying the correct sense of a word in a ...
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...
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...
Abstract: Word sense disambiguation (WSD) is the process of automatically clarifying the meaning of ...
Word Sense Disambiguation (WSD) is a significant issue in Natural Language Processing (NLP). WSD ref...
Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural ...
Abstract — lexical ambiguity is a fundamental characteristic of language. Words can have more than o...
This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correc...
Abstract — Word sense disambiguation is a technique in the field of natural language processing wher...
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...
The purpose of word sense disambiguation (WSD) is to find the meaning of the word in any context wit...
AbstractWord Sense Disambiguation (WSD) is the task of identifying the correct sense of a word in a ...
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...
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...
Abstract: Word sense disambiguation (WSD) is the process of automatically clarifying the meaning of ...
Word Sense Disambiguation (WSD) is a significant issue in Natural Language Processing (NLP). WSD ref...
Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural ...
Abstract — lexical ambiguity is a fundamental characteristic of language. Words can have more than o...