Abstract
The key to realize advanced document summarization is semantic representation of documents. This paper investigates the role of Semantic Link Network in representing and understanding documents for multi-document summarization. It proposes a novel abstractive multi-document summarization framework by first transforming documents into a Semantic Link Network of concepts and events and then transforming the Semantic Link Network into the summary of the documents based on the selection of important concepts and events while keeping semantics coherence. Experiments on benchmark datasets show that the proposed summarization approach significantly outperforms relevant state-of-the-art baselines and the Semantic Link Network plays an important role in representing and understanding documents.
| Original language | English |
|---|---|
| Article number | 8736808 |
| Pages (from-to) | 43-54 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Knowledge and Data Engineering |
| Volume | 33 |
| Issue number | 1 |
| Early online date | 14 Jun 2019 |
| DOIs | |
| Publication status | Published - 1 Jan 2021 |
Bibliographical note
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- Abstractive summarization
- information extraction
- multi-document summarization
- semantic link network