The 2020 Trends for Applied Natural Language Processing
In this talk, David Talby summarized four key trends that are shaping the NLP industry and open source ecosystem today:
Models need better zookeepers: As the number of publicly available NLP models explode, it becomes harder to find the one you should actually use for your next project. New model hubs are adding are adding better search, discovery, and curation.
Multi-lingual models: Thanks to recent advances in transfer learning and the public availability of multi-lingual embeddings, open sources libraries that support dozens of languages out of the box are becoming the norm for the first time.
State-of-the-art models are one-liners: Running many of the most accurate & most complex deep learning models in history has been reduced to a single line of Python code.
“Pre-train and tune” gets automated: While you still have to train your own models to understand domain specific text, “Auto-NLP” is coming fast behind the “Auto-ML” trend to make this a code-free process.
CTO at John Snow Labs
David Talby is the Chief Technology Officer at John Snow Labs, helping companies apply artificial intelligence to solve real-world problems in healthcare and life science. David is the creator of Spark NLP – the world’s most widely used natural language processing library in the enterprise. He has extensive experience building and running web-scale software platforms and teams – in startups, for Microsoft’s Bing in the US and Europe, and to scale Amazon’s financial systems in Seattle and the UK. David holds a Ph.D. in Computer Science and Master’s degrees in both Computer Science and Business Administration. He was selected by CV as the Most Influential CTO of the Year 2019 in Artificial Intelligence.