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Readme: Generic Summarization

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Project files and folders:

project_root : root folder of project containing all required files and folders Documents : news articles relating to 50 topics Human_Summaries : Human summaries used to evaluate the quality of system generated summaries produced by LexRank and MMR approach Lexrank_results : folder which holds the system generated summaries of LexRank MMR_results : folder which holds the system generated summaries of MMR

sentence.py : sentence class for modelling sentences in the document cluster mmr_summarizer.py : MMR implementation LexRank.py : LexRank implementation test_pyrouge.py : for generating the ROUGE scores for the system summaries jaccardScore.py : for generating jaccard coefficient at word and sentence level

System/software requirements:

• python version 2.7

• pyRouge version 0.1.0

• ROUGE toolkit 1.5.5

  How to run:

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• For generating the MMR system summaries run the mmr_summarizer.py. The results will be generated in the MMR_results folder.

• For generating the LexRank system summaries run the LexRank.py. The results will be generated in the Lexrank_results folder.

• For generating the ROUGE scores run the test_pyrouge.py. Results will be displayed on the terminal

• For generating the Jaccard coefficient scores run the jaccardScore.py. Both word and sentence level scores will be displayed on the screen