most citedUnsupervised Broadcast News Summarization; a comparative study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA)

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.CL2023★ 6 cited

Unsupervised Broadcast News Summarization; a comparative study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA)

Majid Ramezani, Mohammad-Salar Shahryari, Amir-Reza Feizi-Derakhshi +1

The methods of automatic speech summarization are classified into two groups: supervised and unsupervised methods. Supervised methods are based on a set of features, while unsuperv…