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Small Data for Big Problems: Practical Transfer Learning for NLP

October 11, 2018 | Machine Learning, Text Data Use Case, Tutorials

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Yesterday, Indico’s CTO Slater Victoroff held a webinar to discusses modern transfer learning techniques for NLP to help you avoid common pitfalls when working in low-data environments. If you missed it, the slides and video are now available below.


Despite all the advancements using AI and machine learning to create value around structured data, enterprises are not seeing the same benefits and ROI with unstructured content – all the text, images, documents, contracts, and customer interactions that make up more than 80% of data in most organizations. Traditional keyword-based approaches – including taxonomies, classifiers, expert systems, and pre-trained dictionary based systems – are simply too complex, too inflexible, and too expensive to maintain. It’s time for a new approach.

Small Data for Big Problems: Practical Transfer Learning for NLP from indico data


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