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Knowledge Based Summarization and Document Generation using Bayesian Network
2016
Procedia Computer Science
In this paper an approach of Semantic Knowledge Extraction (SKE), from a set of research papers, is proposed to develop a system Summarized Research Article Generator (SRAG) which would generate a summarized research article based on the query given by a user. The SRAG stores the semantic knowledge extracted from the query relevant papers in the form of a semantic tree. Semantic Tree stores all the textual units with their score in nodes organized at different levels depending on their type
doi:10.1016/j.procs.2016.06.080
fatcat:zq6mitvfvvhy5juhmn4afu4tte