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#nlp and #machinelearning for the needs of the book market

What are our current successes in the work on #nlp and #machinelearning for the book market? That’s right The result of the joint work of...

Artificial intelligence created something – who has the copyright for it?

The BookScout.ai software developed by Literacka became the inspiration for the article by Tomasz Palak – attorney-at-law, speaker and blogger. In the post, we find...

Application of the BERT architecture to the NER extraction task

With this article, we start a series of entries on research methods and relating to research and development works, which are dealt with by the...

NER analysis, i.e. reading text with artificial intelligence

NER (Named Entity Recognition) is a popular technique used to identify and segment named entities and classify or categorize them into various predefined classes, i.e....

Introduction to the Transformer Architecture (Part I)

We invite you to read the next article relating to the research and development work that the Data Science Literacka team deals with. The Transformer...

Artificial intelligence – copyright of what we put into it

The BookScout.ai software developed by Literacka became the inspiration for the next article ( the first article can be found at this link> CLICK )...

Generating a text based on a literary category and keywords using the GPT-2 model

In the first part of the post ( link here ) we briefly presented the Transformer model – its architecture and the idea related to...