Supriya N. Pal

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Research and development in Natural Language Processing (NLP) has made significant progress over the last decade. Many robust NLP systems have been developed for handling machine translation, question-answering, summarization, topic detection, cluster analysis, information extraction, named entity recognition (NER), etc. Despite this advancement in NLP(More)
In many scientific and commercial domains, graph as a data structure has become increasingly important for modeling of sophisticated structures. In the past few years, there has been sharp increase in research on mining graph data. We had proposed a unified framework for graph mining and analysis of extracted substructures, which was then an unattended(More)
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