WordNet is a crucial resource that aids in several Natural Language Processing (NLP) tasks. The WordNet development activity for 18 Indian languages has been initiated in INDIA by the IndoWordNet1 consortium using the expansion approach with the Hindi WordNet developed by IIT Bombay, as the source. After linking 20K synsets, it was decided that each of these languages should find the coverage of their respective language WordNets by using sense marker tool released by IIT Bombay. The sense marking activity mainly helped in validation of WordNet and improving the WordNet coverage. In this paper, the various effects that sense marking activ-ity had on the Konkani2 language Word-Net development are presented
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
India is a country with 22 officially rec-ognized languages and 17 of these have WordNets, a crucial...
This paper surveys the current state of word-net sense annotated corpora. We look at cor-pora in any...
ABSTRACT: A key ingredient of today's NLP scenario is annotation and this paper discusses chall...
The purpose of word sense disambiguation (WSD) is to find the meaning of the word in any context wit...
In the work reported here, we present three important related issues. 1. We present an effective met...
In this paper, we present an approach for merging fine-grained verb senses of Hindi WordNet. Senses ...
Princeton WordNet is one of the most important resources for natural language processing, but is onl...
In this paper, we are presenting a graphical user interface to browse and explore the In-doWordnet l...
Wordnets are extensively used in natural language processing, but the current approaches for manuall...
Wordnets are extensively used in natural language processing, but the current approaches for manual...
Abstract—Word Sense Disambiguation is a challenging technique in Natural Language Processing. There ...
In this paper, we present observations on structural properties of wordnets of three languages: Engl...
The IndoWordNet is an Indian language lexical resource. The project started with Hindi WordNet, whic...
The SENSEVAL-3 task to perform word-sense disambiguation of WordNet glosses was designed to encourag...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
India is a country with 22 officially rec-ognized languages and 17 of these have WordNets, a crucial...
This paper surveys the current state of word-net sense annotated corpora. We look at cor-pora in any...
ABSTRACT: A key ingredient of today's NLP scenario is annotation and this paper discusses chall...
The purpose of word sense disambiguation (WSD) is to find the meaning of the word in any context wit...
In the work reported here, we present three important related issues. 1. We present an effective met...
In this paper, we present an approach for merging fine-grained verb senses of Hindi WordNet. Senses ...
Princeton WordNet is one of the most important resources for natural language processing, but is onl...
In this paper, we are presenting a graphical user interface to browse and explore the In-doWordnet l...
Wordnets are extensively used in natural language processing, but the current approaches for manuall...
Wordnets are extensively used in natural language processing, but the current approaches for manual...
Abstract—Word Sense Disambiguation is a challenging technique in Natural Language Processing. There ...
In this paper, we present observations on structural properties of wordnets of three languages: Engl...
The IndoWordNet is an Indian language lexical resource. The project started with Hindi WordNet, whic...
The SENSEVAL-3 task to perform word-sense disambiguation of WordNet glosses was designed to encourag...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
India is a country with 22 officially rec-ognized languages and 17 of these have WordNets, a crucial...
This paper surveys the current state of word-net sense annotated corpora. We look at cor-pora in any...