Abstract
Multimedia procedural texts, such as instructions and manuals with pictures, support people to share how-to knowledge. In this paper, we propose a method for generating a procedural text given a photo sequence allowing users to obtain a multimedia procedural text. We propose a single embedding space both for image and text enabling to interconnect them and to select appropriate words to describe a photo. We implemented our method and tested it on cooking instructions, i.e., recipes. Various experimental results showed that our method outperforms standard baselines.- Anthology ID:
- W19-8650
- Volume:
- Proceedings of the 12th International Conference on Natural Language Generation
- Month:
- October–November
- Year:
- 2019
- Address:
- Tokyo, Japan
- Editors:
- Kees van Deemter, Chenghua Lin, Hiroya Takamura
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 409–414
- Language:
- URL:
- https://aclanthology.org/W19-8650
- DOI:
- 10.18653/v1/W19-8650
- Cite (ACL):
- Taichi Nishimura, Atsushi Hashimoto, and Shinsuke Mori. 2019. Procedural Text Generation from a Photo Sequence. In Proceedings of the 12th International Conference on Natural Language Generation, pages 409–414, Tokyo, Japan. Association for Computational Linguistics.
- Cite (Informal):
- Procedural Text Generation from a Photo Sequence (Nishimura et al., INLG 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/W19-8650.pdf