Lexi: A tool for adaptive, personalized text simplification

Joachim Bingel, Gustavo Paetzold, Anders Søgaard


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:
Bibkey:
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)
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PDF:
https://aclanthology.org/C18-1021.pdf