Lecture Notes



This resource discusses about summarization, types of summaries, extracts vs. abstracts, condensation genre, centrality-based summarization(radev), combination of sentential features, learning content structure, computing content model, Viterbi re-estimation, applications of content models, etc.

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Lecture Notes

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