Abstract
E-health applications aim to support the user in adopting healthy habits. An important feature is to provide insights into the user’s lifestyle. To actively engage the user in the insight mining process, we propose an ontology-based framework with a Controlled Natural Language interface, which enables the user to ask for specific insights and to customize personal information.- Anthology ID:
- W18-6559
- Volume:
- Proceedings of the 11th International Conference on Natural Language Generation
- Month:
- November
- Year:
- 2018
- Address:
- Tilburg University, The Netherlands
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 478–479
- Language:
- URL:
- https://aclanthology.org/W18-6559
- DOI:
- 10.18653/v1/W18-6559
- Cite (ACL):
- Isabel Funke, Rim Helaoui, and Aki Härmä. 2018. Interactive health insight miner: an adaptive, semantic-based approach. In Proceedings of the 11th International Conference on Natural Language Generation, pages 478–479, Tilburg University, The Netherlands. Association for Computational Linguistics.
- Cite (Informal):
- Interactive health insight miner: an adaptive, semantic-based approach (Funke et al., INLG 2018)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/W18-6559.pdf