Abstract
Most previous research in text simplification has aimed to develop generic solutions, assuming very homogeneous target audiences with consistent intra-group simplification needs. We argue that this assumption does not hold, and that instead we need to develop simplification systems that adapt to the individual needs of specific users. As a first step towards personalized simplification, we propose a framework for adaptive lexical simplification and introduce Lexi, a free open-source and easily extensible tool for adaptive, personalized text simplification. Lexi is easily installed as a browser extension, enabling easy access to the service for its users.- Anthology ID:
- C18-1021
- Volume:
- Proceedings of the 27th International Conference on Computational Linguistics
- Month:
- August
- Year:
- 2018
- Address:
- Santa Fe, New Mexico, USA
- Editors:
- Emily M. Bender, Leon Derczynski, Pierre Isabelle
- Venue:
- COLING
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 245–258
- Language:
- URL:
- https://aclanthology.org/C18-1021
- DOI:
- Cite (ACL):
- Joachim Bingel, Gustavo Paetzold, and Anders Søgaard. 2018. Lexi: A tool for adaptive, personalized text simplification. In Proceedings of the 27th International Conference on Computational Linguistics, pages 245–258, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
- Cite (Informal):
- Lexi: A tool for adaptive, personalized text simplification (Bingel et al., COLING 2018)
- PDF:
- https://preview.aclanthology.org/fix-dup-bibkey/C18-1021.pdf