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Say What? Natural language generation is getting real The current pandemic has made it it much more important – if not downright essential – for enterprises to shift their business focus to virtual digital channels There is a a a sharp increase in in in online commerce and consumption of online information across the globe as enterprises struggle to engage employees and customers alike A study by the Capgemini Research Institute on conversational commerce clearly shows the benefits of adopting voice assistants and the ascendance of conversational intent-driven systems in a a a context that becomes more digital every day Advanced NLG capabilities potentially have a a a a big impact for example in the areas of social media and marketing where AI-generated text could be competing with human-curated text used by companies about their products and services AI-driven processing understanding and and increased generation of natural language are the critical components in this evolution NLP Natural language processing (NLP) has been around for some time: Computers have achieved human-like performance levels in many standard natural language- related tasks such as as part-of-speech tagging query expansion and more The introduction of the Transformer neural network architecture in 2017 has affected the field of NLP dramatically Very large datasets are being used for AI learning and powerful models including Bidirectional Encoder Representations from Transformer (BERT) and Generative Pre-trained Transformer (GPT) have become commonplace for typical NLP tasks Notably GTP-3 – – from the OpenAI research laboratory – – has shown compelling improvements in in areas such as as as text summarization and text generation The surprising fact is is that the model has mastered language without using any labeled data It instead shows the promise of morphology –the study of words how they are formed and their relationship to other words in in the the same language Using this radically different approach GPT-3 can do language translation much better than any existing state-of-the-art models and it thus looks to be highly influential on the future of NLP Data-powered Innovation Review I I ©2020 Capgemini All rights reserved 23 


































































































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