Lexi: A tool for adaptive, personalized text simplification

Joachim Bingel, Gustavo Paetzold, Anders Søgaard

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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://preview.aclanthology.org/teach-a-man-to-fish/C18-1021.pdf
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