Call For Paper Volume:4 Issue:8 Aug'2017 |

Multi Document Summarization: A Cross Document Structure Theory Approach

Publication Date : 10/07/2015



Author(s) :

Ms Yogita K. Desai , Prof Prakash P. Rokade , Prof. Swati V. Sinha.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

the graph of use of internet is increasing day by day. All the information over the world can be retrieved on one click. But the information retrieved is so huge to read and sort. So to summarize this information, multi document summarization can be used. With this summarization user can read short and precise description of whole information. Proposed system uses CST (cross document structure theory) relations to identify relevance in information. Further dictionary based approach is proposed to identify these CST relations. Score of each sentence is calculated with the help of scoring model. Depending on the score of sentence, the system decides which sentence should be included in summary. Results are shown for number of sentences versus number of filtered sentences in input documents


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