Abstract — A novel approach to identify the sense of the word appearing in a sentence is proposed in this paper. The basic idea is to facilitate the natural language processing through the broad manifold of unsupervised observations. The target word is tokenized and a relationship with other words is constructed through mapping to constitute the training set using specific domain wordnet. It constitutes the corpus from where similar word senses are arrived at and there from be-hives its role into the question answering system. The scheme is evaluated through precise performance indices for two specific domains to illustrate its applicability in the present day context
Word sense disambiguation has been recognized as a major problem in natural language processing rese...
This paper presents a method of acquiring knowledge from the Web for noun sense disambiguation. Word...
This paper reports an unsupervised approach we adopted for Wordnet construction. We combine ways of ...
Abstract. This paper introduces an unsupervised algorithm that col-lects senses contained in WordNet...
Neural Network based methodology recognizes the feeling of the word showing up in a sentence. The di...
This paper presents an unsupervised algorithm which automatically discovers word senses from text. T...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
In this position paper we introduce our ideas for utilizing text corpus for supplementing or replaci...
The unavailability of very large corpora with semantically disambiguated words is a major limitation...
Recent works in computational linguistics have investigated the association of a text with a certain...
This thesis describes an approach to handle word sense in natural language processing. If we want la...
Word sense disambiguation is a core problem in many tasks related to language processing. In this pa...
An important problem in Natural Language Pro-cessing is identifying thecorrect sense of a word in a ...
Words often gain new senses in new domains. Being able to automatically identify, from a corpus of m...
Word sense induction (WSI) seeks to automat-ically discover the senses of a word in a cor-pus via un...
Word sense disambiguation has been recognized as a major problem in natural language processing rese...
This paper presents a method of acquiring knowledge from the Web for noun sense disambiguation. Word...
This paper reports an unsupervised approach we adopted for Wordnet construction. We combine ways of ...
Abstract. This paper introduces an unsupervised algorithm that col-lects senses contained in WordNet...
Neural Network based methodology recognizes the feeling of the word showing up in a sentence. The di...
This paper presents an unsupervised algorithm which automatically discovers word senses from text. T...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
In this position paper we introduce our ideas for utilizing text corpus for supplementing or replaci...
The unavailability of very large corpora with semantically disambiguated words is a major limitation...
Recent works in computational linguistics have investigated the association of a text with a certain...
This thesis describes an approach to handle word sense in natural language processing. If we want la...
Word sense disambiguation is a core problem in many tasks related to language processing. In this pa...
An important problem in Natural Language Pro-cessing is identifying thecorrect sense of a word in a ...
Words often gain new senses in new domains. Being able to automatically identify, from a corpus of m...
Word sense induction (WSI) seeks to automat-ically discover the senses of a word in a cor-pus via un...
Word sense disambiguation has been recognized as a major problem in natural language processing rese...
This paper presents a method of acquiring knowledge from the Web for noun sense disambiguation. Word...
This paper reports an unsupervised approach we adopted for Wordnet construction. We combine ways of ...