Generating Coherent and Informative Descriptions for Groups of Visual Objects and Categories: A Simple Decoding Approach
Nazia Attari, David Schlangen, Martin Heckmann, Heiko Wersing, Sina Zarrieß
- Anthology ID:
- 2022.inlg-main.9
- Volume:
- Proceedings of the 15th International Conference on Natural Language Generation
- Month:
- July
- Year:
- 2022
- Address:
- Waterville, Maine, USA and virtual meeting
- Editors:
- Samira Shaikh, Thiago Ferreira, Amanda Stent
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 110–120
- Language:
- URL:
- https://aclanthology.org/2022.inlg-main.9
- DOI:
- 10.18653/v1/2022.inlg-main.9
- Cite (ACL):
- Nazia Attari, David Schlangen, Martin Heckmann, Heiko Wersing, and Sina Zarrieß. 2022. Generating Coherent and Informative Descriptions for Groups of Visual Objects and Categories: A Simple Decoding Approach. In Proceedings of the 15th International Conference on Natural Language Generation, pages 110–120, Waterville, Maine, USA and virtual meeting. Association for Computational Linguistics.
- Cite (Informal):
- Generating Coherent and Informative Descriptions for Groups of Visual Objects and Categories: A Simple Decoding Approach (Attari et al., INLG 2022)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2022.inlg-main.9.pdf