Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature
Keywords:machine learning, information extraction, planetary science
We have constructed an information extraction system called the Mars Target Encyclopedia that takes in planetary science publications and extracts scientific knowledge about target compositions. The extracted knowledge is stored in a searchable database that can greatly accelerate the ability of scientists to compare new discoveries with what is already known. To date, we have applied this system to ~6000 documents and achieved 41-56% precision in the extracted information.
How to Cite
Wagstaff, K., Francis, R., Gowda, T., Lu, Y., Riloff, E., Singh, K., & Lanza, N. (2018). Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.11412
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