Why NLP platforms save over 80% of your time Impressive recent progress in Natural Language Processing (NLP) models, for a large majority coming from the open sourced community, do not necessarily go hand in hand with delivering business value for domain experts; which can be summarized by the requirement to obtain automatically actionable information from … Continue reading ROI of Natural Language Processing platforms
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AI no-code NLP platforms change the paradigm In many professions controls are carried out on a random basis. It is a generally accepted practice that an auditor reviewing agreements or an analyst screening litterature proceeds with random checks simply because it is humanly impossible and much too costly to process each individual document. At the … Continue reading Random checks are dead, long live exhaustivity
Introduction Natural language processing (NLP) techniques have made tremendous progress during the last couple of years, thanks notably to algorithms such as Neural Networks which have surpassed traditional approaches using rule-based systems. Examples include Machine Translation (DeepL, Google Translate…) or Speech To Text (Siri…). Information extraction, Text classification, Automatic summarization, Q&A Subcategories of NLP like … Continue reading Make the long road to augmented applications shorter by “do-it-yourself NLP”