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A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages

We explore the impact of the training corpus on contextualized word embeddings in five mid-resource languages.

Establishing a New State-of-the-Art for French Named Entity Recognition

We explore convert the NER annotations of the French TreeBank to a more user-friendly format and establish a new state of the art for French NER.

Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures

We propose a new pipeline to filter, clean and classify Common Crawl by language, we publish the final corpus under the name OSCAR.