RESEARCH TRIANGLE PARK, N.C., Oct. 24 /CSRwire/ – The Soil Health Institute, The American Society of Agronomy, Crop Science Society of America, Soil Science Society of America and lum.ai are partnering on a project that uses natural language processing (NLP) and machine learning (ML) to accelerate the retrieval and use of soil health research.
Lum.ai developed an NLP tool that takes unstructured text and turns it into structured data.
“We originally developed this natural language processing application for researchers at the U.S. Department of Defense’s Defense Advanced Research Projects Agency (DARPA) and the Bill and Melinda Gates Foundation to help identify causal pathways in cancer research and children’s health,” said Mihai Surdeanu, co-founder of lum.ai. “It achieves levels of interpretation and precision that are statistically similar to humans, but unlike humans who can become fatigued and bored, the computer’s process is sustainable for an unlimited number of papers,” added Surdeanu.
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