Supervising the Centroid Baseline for Extractive Multi-Document Summarization
Gonçalves, Simão, Correia, Gonçalo, Pernes, Diogo, Mendes, Afonso
–arXiv.org Artificial Intelligence
In this work, we refine the centroid method even further: i) we utilize multilingual sentence embeddings Multi-document summarization (MDS) addresses to enable summarization of clusters of the need to condense content from multiple source documents in various languages; ii) we employ documents into concise and coherent summaries beam search for sentence selection, leading to a while preserving the essential context and meaning.
arXiv.org Artificial Intelligence
Nov-29-2023
- Country:
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- United States
- Minnesota > Hennepin County
- Minneapolis (0.14)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Minnesota > Hennepin County
- Canada > Ontario
- Toronto (0.04)
- United States
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- Czechia > Prague (0.04)
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- Sweden > Vaestra Goetaland
- Gothenburg (0.04)
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- Valencian Community > Valencia Province
- Valencia (0.04)
- Catalonia > Barcelona Province
- Barcelona (0.04)
- Valencian Community > Valencia Province
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- Florence (0.04)
- Denmark > Capital Region
- Copenhagen (0.04)
- Bulgaria > Sofia City Province
- Sofia (0.04)
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- North America
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