no code implementations • COLING 2020 • R{\'e}mi Cardon, Natalia Grabar
We present experiments on biomedical text simplification in French.
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no code implementations • JEPTALNRECITAL 2020 • R{\'e}mi Cardon, Natalia Grabar, Cyril Grouin, Thierry Hamon
La troisi{\`e}me t{\^a}che propose d{'}extraire dix cat{\'e}gories d{'}informations du domaine m{\'e}dical depuis le corpus de cas cliniques de DEFT 2019.
no code implementations • LREC 2020 • R{\'e}mi Cardon, Natalia Grabar
This paper describes and evaluates simple techniques for reducing the research space for parallel sentences in monolingual comparable corpora.
no code implementations • LREC 2020 • R{\'e}mi Cardon, Natalia Grabar
To do so, corpora with graded pairs of sentences are required.
no code implementations • RANLP 2019 • R{\'e}mi Cardon, Natalia Grabar
Our purpose is to state whether a given pair of specialized and simplified sentences is parallel and can be aligned or not.
no code implementations • WS 2019 • Ana{\"\i}s Koptient, R{\'e}mi Cardon, Natalia Grabar
The purpose of automatic text simplification is to transform technical or difficult to understand texts into a more friendly version.
no code implementations • WS 2018 • R{\'e}mi Cardon, Natalia Grabar
We propose to exploit comparable corpora in French which are distinguished by their registers (specialized and simplified versions) to detect and align parallel sentences.