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evaluate classifical hand crafted relevance features
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learn linear/non-linear models for relevance, training on DUC conference datasets
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explore the use of neural sentence embeddings for identifying redundancy
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tune the trade-off between relevance and redundancy on development data
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compare the use of A* search and Dynamic Programming to find best summary given score functions and trade-off
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Supervised Multidocument Summarization using neural sentence embeddings
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