Abstract
This paper presents Disco, a prototype for supporting knowledge workers in exploring, reviewing and sorting collections of textual data. The goal is to facilitate, accelerate and improve the discovery of information. To this end, it combines Semantic Relatedness techniques with a review workflow developed in a tangible environment. Disco uses a semantic model that is leveraged on-line in the course of search sessions, and accessed through natural hand-gesture, in a simple and intuitive way.- Anthology ID:
- C16-2014
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editor:
- Hideo Watanabe
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 64–68
- Language:
- URL:
- https://aclanthology.org/C16-2014
- DOI:
- Cite (ACL):
- Ngoc Phuoc An Vo, Fabien Guillot, and Caroline Privault. 2016. DISCO: A System Leveraging Semantic Search in Document Review. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 64–68, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- DISCO: A System Leveraging Semantic Search in Document Review (Vo et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/landing_page/C16-2014.pdf