Extracting Noun Phrases in Subject and Object Roles for Exploring Text Semantics
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
In tune with the recent developments in the automatic retrieval of text emantics, this paper is an attempt to extract one of the most fundamental semantic units from natural language text. The context is intuitively extracted from typed dependency structures basically depicting dependency relations instead of Part-Of-Speech tagged representation of the text. The ependency relations imply deep, fine grained, labeled dependencies that encode longdistance relations and passive nformation. Apart from the typed dependencies, the present work does not take the help of Noun phrase Chunking tool or Part of speech Taggers for the compound noun phrase extraction.
Authors and Affiliations
Ani Thomas , M K Kowar, , Sanjay Sharma , H R Sharma
Keywords
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