An Editorial Network for Enhanced Document Summarization
Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki
Abstract
We suggest a new idea of Editorial Network – a mixed extractive-abstractive summarization approach, which is applied as a post-processing step over a given sequence of extracted sentences. We further suggest an effective way for training the “editor” based on a novel soft-labeling approach. Using the CNN/DailyMail dataset we demonstrate the effectiveness of our approach compared to state-of-the-art extractive-only or abstractive-only baselines.- Anthology ID:
- D19-5407
- Volume:
- Proceedings of the 2nd Workshop on New Frontiers in Summarization
- Month:
- November
- Year:
- 2019
- Address:
- Hong Kong, China
- Editors:
- Lu Wang, Jackie Chi Kit Cheung, Giuseppe Carenini, Fei Liu
- Venue:
- WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 57–63
- Language:
- URL:
- https://aclanthology.org/D19-5407
- DOI:
- 10.18653/v1/D19-5407
- Cite (ACL):
- Edward Moroshko, Guy Feigenblat, Haggai Roitman, and David Konopnicki. 2019. An Editorial Network for Enhanced Document Summarization. In Proceedings of the 2nd Workshop on New Frontiers in Summarization, pages 57–63, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- An Editorial Network for Enhanced Document Summarization (Moroshko et al., 2019)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/D19-5407.pdf
- Data
- CNN/Daily Mail