| Autor: |
DUSART, ALEXIS, PINEL-SAUVAGNAT, KAREN, HUBERT, GILLES |
| Zdroj: |
ACM Transactions on Information Systems; Oct2023, Vol. 41 Issue 4, p1-33, 33p |
| Abstrakt: |
The article focuses on leveraging pre-trained language models like BERT to enhance the summarization of tweet streams, introducing an extractive model that adapts the summary size automatically. It also presents a novel methodology for constructing tweet stream summarization datasets with minimal human effort and releases a new dataset called TES 2012-2016, potentially advancing research in incremental summarization. |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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