"Enhancing Abstractiveness of Summarization Models through Calibrated ..."

Hwanjun Song et al. (2023)

> Home

Details and statistics

DOI: 10.18653/V1/2023.FINDINGS-EMNLP.468

access: open

type: Conference or Workshop Paper

metadata version: 2024-04-12

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/emnlp/SongSSSYM23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/SongSSSYM23
Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. EMNLP (Findings) 2023: 7026-7036

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.