Consensus And Datasaur Partner To Deliver Accurate Science Based Answers For All

Science-based answer app, Consensus and NLP data-labeling platform, Datasaur have officially announced their partnership. Within a few months of integration, it was clear Datasaur’s NLP labeling technology would be a huge benefit to the Consensus ML model, enabling highly accurate results.

Consensus is building a search engine for scientific research which uses machine learning and natural language processing to make authoritative science-based answers accessible to everyone.

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In order for Consensus’ state-of-the-art machine learning system to effectively analyze and extract information from scientific literature, they needed to construct quality datasets to train models. Datasaure was ready to help with an annotation product that:

• Labels scientific papers at different levels (entity, sentence, multiple sentences, etc.)
• Allows the creation of custom label sets
• Enables multiple annotators in the same file
• Supports inexperienced annotators (in this case, Ph.D.’s and Ph.D. students)
• Provides easy to use workflow tools

Datasaur’s platform was able to accommodate all of Consensus’ complex annotation requirements and more.

According to Eric Olson, Consensus CEO, “Within a few months of collaborating with Datasur, Consensus was able to achieve accurate results expediting the production and quality of our search engine. The success of our first collaboration led Consensus and Datasur to begin a second project and workflow that utilizes a different technique of labeling and review.”

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Datasaur trained Consensus personnel on the best ways to use the platform to maximize feature functionality. The two organizations collaborated on the best reviewing methods (including ensuring consistency with Consensus standards), the best output formats, labeling techniques, and workflows.

Ivan Lee, Datasaur CEO, stated, “Datasaur is incredibly excited to be working with Consensus; they’re building an innovative product that will provide a powerful search engine for users. Collaborating with Consensus has been a seamless experience, as they deploy creative and simple solutions to complex challenges. We are eager to continue our work of customizing our platform to enable the Consensus team in training their high-quality ML models.”

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