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Found 8 papers, 0 papers with code
French Biomedical Text Simplification: When Small and Precise Helps
We present experiments on biomedical text simplification in French.
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Text Simplification
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Pr\'esentation de la campagne d'\'evaluation DEFT 2020 : similarit\'e textuelle en domaine ouvert et extraction d'information pr\'ecise dans des cas cliniques (Presentation of the DEFT 2020 Challenge : open domain textual similarity and precise information extraction from clinical cases )
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.
Reducing the Search Space for Parallel Sentences in Comparable Corpora
This paper describes and evaluates simple techniques for reducing the research space for parallel sentences in monolingual comparable corpora.
A French Corpus for Semantic Similarity
To do so, corpora with graded pairs of sentences are required.
Parallel Sentence Retrieval From Comparable Corpora for Biomedical Text Simplification
Our purpose is to state whether a given pair of specialized and simplified sentences is parallel and can be aligned or not.
Simplification-induced transformations: typology and some characteristics
The purpose of automatic text simplification is to transform technical or difficult to understand texts into a more friendly version.
Identification of Parallel Sentences in Comparable Monolingual Corpora from Different Registers
We propose to exploit comparable corpora in French which are distinguished by their registers (specialized and simplified versions) to detect and align parallel sentences.
