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Experiment on various multidocument summarization methods

• evaluate classifical hand crafted relevance features

• learn linear/non-linear models for relevance, training on DUC conference datasets

• explore the use of neural sentence embeddings for identifying redundancy

• tune the trade-off between relevance and redundancy on development data

• compare the use of A* search and Dynamic Programming to find best summary given score functions and trade-off