Sitanath Biswas

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This paper describes about the development of a two stage hybrid Named Entity Recognition (NER) system for Indian Languages particularly for Hindi, Oriya, Bengali and Telugu. We have used both statistical Maximum Entropy Model (MaxEnt) and Hidden Markov Model (HMM) in this system. We have used variety of features and contextual information for predicting(More)
AI researchers have several overlapping objectives. Among these are: to build systems that aid humans in intellectual tasks; to build agents that can function autonomously in circumscribed domains; to build a general science of intelligence as manifested in animals, humans, and machines; and to build versatile agents with human-level intelligence or beyond.(More)
The internet has taken a central role in our communication infrastructure. The demand for internet has increased a lot but the problem is slow convergence of routing protocol after a failure has occurred. To assure a fast recovery from the link and node failures, we present new recovery scheme called multiple routing configuration (MRC).Our proposed scheme(More)
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