A ‘word embeddings’ approach has been widely adopted for machine learning processes. While an extensive research has been carried out during these years to analyze all theoretical underpinnings of algorithms such as word2vec, GloVe or fastText, it is surprising that little has been done, in turn, to solve some of the more complex linguistic issues raised when getting down to business.
Machine learning algorithms require a great amount of numeric data to work properly. Real people, however, do not speak to bots using numbers, they communicate through the natural language. That’s the main reason why chatbot developers need to convert all these words into digits so that those virtual assistants can understand what users are saying. And here is where word embeddings come into play.
Due to the growing interest in AI among forward-looking companies, many CIOs are currently racking their brains to build an appropriate AI strategy plan in order to move closer towards their business objectives. Although there are plenty of solutions offered by AI vendors, enterprises are still missing information about what is coming. The following guide, based on a report from Gartner, will help you follow the best path in the field of Artificial Intelligence.
This is one of the top 5 hot trends that we learnt during the Chatbot Summit in Berlin. Believe it or not, websites have their days numbered. Chatbots are now considered to be ‘the Death of the Website’. In the mid 90’s, experts already dreamed of a world where brick-and-mortar stores would give way to e-commerce businesses. At that time, nobody would imagine that websites would be also killed by AI-powered conversational interfaces.
Powered by a linguistic approach, the future of natural language processing will enable human-like understanding through a wide range of applications. Thanks to Bitext NLP technologies, that far future is closer than expected. Bitext solutions are fully oriented to the current needs of many forward-looking companies relying on cutting-edge techniques ranging from sentiment analysis tools to a generation of artificial training data. After years of hard work in the field of the automation of customer support, Bitext developed the most advanced API ever seen and several conversational agents for innovative enterprises as, for instance, TechCrunch.