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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2022.inlg-main.9.pdf
Software:
 2022.inlg-main.9.software.zip