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
From Language and Information Technologies
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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.
F. Abel, N. Henze, and D. Krause. Proceeding of the 17th ACM conference on Information and knowledge management, page 1429--1430. New York, NY, USA, ACM, (2008)
D. Abrahamson, U. Wilensky, and J. Levin. Paper presented at the 2007 annual meeting of the American Educational Research Association, Chicago, IL, (2007)