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Generating a Training Corpus for OCR Post-Correction Using Encoder-Decoder Model
In this paper we present a novel approach to the automatic correction of OCR-induced orthographic errors in a given text.
Apprendre des repr\'esentations jointes de mots et d'entit\'es pour la d\'esambigu\"\isation d'entit\'es (Combining Word and Entity Embeddings for Entity Linking)
La d{\'e}sambigu{\"\i}sation d{'}entit{\'e}s (ou liaison d{'}entit{\'e}s), qui consiste {\`a} relier des mentions d{'}entit{\'e}s d{'}un texte {\`a} des entit{\'e}s d{'}une base de connaissance, est un probl{\`e}me qui se pose, entre autre, pour le peuplement automatique de bases de connaissances {\`a} partir de textes.
Detection of Text Reuse in French Medical Corpora
Electronic Health Records (EHRs) are increasingly available in modern health care institutions either through the direct creation of electronic documents in hospitals{'} health information systems, or through the digitization of historical paper records.
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