This paper proposes a knowledge-based overlap approach, which uses Genetic algorithms
(GAs) for Word Sense Disambiguation (WSD). Genetic Algorithms have been explored to …

Sense marked corpora is essential for supervised word sense disambiguation (WSD). The
marked sense ids come from wordnets. However, words in corpora appear in morphed …

The paper describes the enrichment of OntoSenseNet-a verb-centric lexical resource for
Indian Languages. This resource contains a newly developed Telugu-Telugu dictionary. It is …

Genetic algorithms (GAs) have widely been investigated to solve hard optimization
problems, including the word sense disambiguation (WSD). This problem asks to determine …

Morphology plays a crucial role in the working of various NLP applications. Whenever we
run a spell checker, provide a query term to a web search engine, explore translation or …

The paper describes the enrichment of OntoSenseNet-a verb-centric lexical resource for
Indian Languages. A major contribution of this work is preservation of an authentic Telugu …

Word Sense Disambiguation has been a research area since the evolution of Natural
Language processing. Most of the languages have ambiguous words. Resolution to these …

Abstract The IndoWordNet1 Consortium consists of member institutions developing WordNet
using the expansion approach. The WordNets developed using expansion approach are …

The major contribution of this thesis is creation and enrichment of resources (a lexicon) for a
resource poor language viz. Telugu. This thesis also describes the enrichment of …

As Twitter evolves into a ubiquitous information dissemination tool, understanding tweets in
foreign languages becomes an important and difficult problem. Because of the inherent …