@inproceedings{nishimura-etal-2019-procedural,
title = "Procedural Text Generation from a Photo Sequence",
author = "Nishimura, Taichi and
Hashimoto, Atsushi and
Mori, Shinsuke",
editor = "van Deemter, Kees and
Lin, Chenghua and
Takamura, Hiroya",
booktitle = "Proceedings of the 12th International Conference on Natural Language Generation",
month = oct # "–" # nov,
year = "2019",
address = "Tokyo, Japan",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/ingest_wac_2008/W19-8650/",
doi = "10.18653/v1/W19-8650",
pages = "409--414",
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."
}
Markdown (Informal)
[Procedural Text Generation from a Photo Sequence](https://preview.aclanthology.org/ingest_wac_2008/W19-8650/) (Nishimura et al., INLG 2019)
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.