Better Highlighting: Creating Sub-Sentence Summary Highlights
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
Abstract
Amongst the best means to summarize is highlighting. In this paper, we aim to generate summary highlights to be overlaid on the original documents to make it easier for readers to sift through a large amount of text. The method allows summaries to be understood in context to prevent a summarizer from distorting the original meaning, of which abstractive summarizers usually fall short. In particular, we present a new method to produce self-contained highlights that are understandable on their own to avoid confusion. Our method combines determinantal point processes and deep contextualized representations to identify an optimal set of sub-sentence segments that are both important and non-redundant to form summary highlights. To demonstrate the flexibility and modeling power of our method, we conduct extensive experiments on summarization datasets. Our analysis provides evidence that highlighting is a promising avenue of research towards future summarization.- Anthology ID:
- 2020.emnlp-main.509
- Volume:
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 6282–6300
- Language:
- URL:
- https://aclanthology.org/2020.emnlp-main.509
- DOI:
- 10.18653/v1/2020.emnlp-main.509
- Cite (ACL):
- Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, and Fei Liu. 2020. Better Highlighting: Creating Sub-Sentence Summary Highlights. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 6282–6300, Online. Association for Computational Linguistics.
- Cite (Informal):
- Better Highlighting: Creating Sub-Sentence Summary Highlights (Cho et al., EMNLP 2020)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/2020.emnlp-main.509.pdf
- Code
- ucfnlp/better-highlighting