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From task to evaluation: an automatic text summarization review.
- Source :
- Artificial Intelligence Review; 2023 Suppl2, Vol. 56, p2477-2507, 31p
- Publication Year :
- 2023
-
Abstract
- Automatic summarization is attracting increasing attention as one of the most promising research areas. This technology has been tried in various real-world applications in recent years and achieved a good response. However, the applicability of conventional evaluation metrics cannot keep up with rapidly evolving summarization task formats and ensuing indicator. After recent years of research, automatic summarization task requires not only readability and fluency, but also informativeness and consistency. Diversified application scenarios also bring new challenges both for generative language models and evaluation metrics. In this review, we analysis and specifically focus on the difference between the task format and the evaluation metrics. [ABSTRACT FROM AUTHOR]
- Subjects :
- TEXT summarization
AUTOMATIC summarization
TASK analysis
LANGUAGE models
Subjects
Details
- Language :
- English
- ISSN :
- 02692821
- Volume :
- 56
- Database :
- Complementary Index
- Journal :
- Artificial Intelligence Review
- Publication Type :
- Academic Journal
- Accession number :
- 173585818
- Full Text :
- https://doi.org/10.1007/s10462-023-10582-5