Liputan6: A Large-scale Indonesian Dataset for Text Summarization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10426920" target="_blank" >RIV/00216208:11320/20:10426920 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/2020.aacl-main.60" target="_blank" >https://www.aclweb.org/anthology/2020.aacl-main.60</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Liputan6: A Large-scale Indonesian Dataset for Text Summarization
Original language description
In this paper, we introduce a large-scale Indonesian summarization dataset. We harvest articles from Liputan6.com, an online news portal, and obtain 215,827 document–summary pairs. We leverage pre-trained language models to develop benchmark extractive and abstractive summarization methods over the dataset with multilingual and monolingual BERT-based models. We include a thorough error analysis by examining machine-generated summaries that have low ROUGE scores, and expose both issues with ROUGE itself, as well as with extractive and abstractive summarization models.
Czech name
—
Czech description
—
Classification
Type
O - Miscellaneous
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů