A new press release states, “Luminoso, the company that turns unstructured text data into business-critical insights, today announced the next generation of its proprietary natural language modeling system, QuickLearn 2.0, which is the first commercially-available solution that reduces biases in AI-powered text analysis. ‘QuickLearn 2.0 is a significant advancement in our method of transfer learning,’ said Robyn Speer, chief science officer at Luminoso. ‘More so than any other natural language understanding system, it can solve the difficult problem of how to learn about a new domain quickly, without bias, and without the need for huge amounts of training data’.”

The release goes on, “First introduced in 2016, QuickLearn® automatically learns domain-specific terminology without any training, setup, or ontology-building — enabling organizations to quickly discover insights from text-based data such as surveys, product reviews, and call center transcripts. QuickLearn 2.0 represents a significant evolution of Luminoso’s natural language modeling system, with advancements including: (1) Reducing bias: QuickLearn’s background space is based on a combination of ConceptNet and word embeddings learned from text on the Web, which provide a general understanding of a large vocabulary of words. Some vocabulary learned from the Web may display biases in words referring to groups of people, a reflection of the discrimination that occurs in the real world. Now, when QuickLearn 2.0 analyzes a dataset, it includes a step that identifies and counteracts biased language to mitigate the effect of bias on the project… (2) Enhancing conceptual matches: By expanding QuickLearn’s background space to take advantage of new advancements in natural language understanding (NLU) research, and doubling the dimensions of relationships across concepts, conceptual matches are now more intuitive and of higher quality.”

Read more at luminoso.com.

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