GCS - Global Citation Score shows the Citation Frequency based on the total count in the Web of Science. LCR - Local Cited References shows the count of cited papers within the collection. LCS - Local Citation Score shows the Citation Frequency within the
Graph-based NLP
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The goal of this research project is to investigate efficient graph-based representations of text, and explore the application of ranking models based on such graph structures to natural language processing tasks. We bring together methods from computational linguistics and graph-theory, and combine them into a suite of innovative approaches that will improve and ultimately solve difficult problems in natural language processing. Specifically, we are currently working on the application of graph centrality algorithms to problems such as word sense disambiguation, text summarization and keyword extraction.
Sai, Jemeema, Mallu, and Puli. International Journal of Innovative Research in Information Security, 9 (2):
07-09(May 2023)1 Iqra Nissar; Waseem Ahmad Mir; Izharuddin; Tawseef Ayoub Shaikh.” Machine Learning Approaches for Detection and Diagnosis of Parkinson’s Disease”. 2021 IEEE. https://doi.org/10.1109/icaccs51430.2021.9441885 2 Pooja Raundale; Chetan Thosar; Shardul Rane.” Prediction of Parkinson’s disease and severity of the disease using Machine Learning and Deep Learning algorithm”.2021 IEEE. https://doi.org/10.1109/incet51464.2021.9456292 3 Son V T Dao “An Analysis of Vocal Features for Parkinson’s Disease Classification Using Evolutionary Algorithms” 2022. 4 Mohammed S Islam “Parkinson’s Disease Prediction Using Machine Learning” 2020..
M. Karplus, Y. Gao, J. Ma, A. van der Vaart, and W. Yang. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 363 (1827):
331-355(February 2005)