Preface
Natural Language Processing (NLP) is currently one of the fastest-growing subfields of AI where new advances or changes to NLP frameworks happen daily. Anyone new to the field will find it difficult to know where to start, which ideas are outdated, which ones are still relevant, and which are soon to become state of the art. Similarly, people with a solid theoretical NLP background aiming to gain practical experience in NLP will find it difficult to choose the right NLP library or framework given the oversupply of different options currently available in the open source community. As someone who has used Flair both professionally as well as for personal projects, I would find it hard to recommend any other framework that is as intuitive, ...
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