Training state of the art french language model on legal contract

less than 1 minute read

Published: on by Ahmed Touila

The majority of natural language processing modules leverage a certain technique for text representations on character, word or sequence level (sentence, paragraph or document). As a result, the efficiency of these modules is highly dependent on the quality of the embeddings they are built on.

In order to provide our customers with the best document analysis in near real-time conditions, we pay close attention to the quality of our text embeddings, the complexity they come with as well as their impact on process time.

The point of this section is to provide a brief explanation of the most used types of textual embeddings at Dilitrust.

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