: Vocabulario de PLN: submodular function

NLP methods and tools > submodular function

submodular function

Finally our task is to maximize the proposed submodular function f (S) to produce a relevant well-covered and non-redundant summary using the modified greedy algorithm for submodular function (Lin and Bilmes 2010). (Chali, Tanvee & Nayeem, 2017)
Our framework is general and different submodular functions can apply if various diversity properties are desirable. (Kumari, Wang, Das, Zhou & Bilmes, 2024)
We introduce a family of submodular functions to identify an appropriate set of topics from a DAG structured hierarchy of topics for a group of documents. (Bairi, Iyer, Ramakrishnan & Bilmes, 2015)

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