No term available
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
地球物理成像
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
Geophysical imaging · geophysical tomography · Seismic image · Seismic images · Seismic imaging
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
No term available
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
No term available
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
No term available
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
No term available
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
No term available
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
No term available
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
No term available
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
No term available
Geophysical imaging is a minimally destructive geophysical technique that investigates the subsurface of a terrestrial planet.
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BabelNet has received funding from the European Research Council (ERC) under grant agreement No. 259234. Concept and design by Roberto Navigli.
BabelNet and its API are licensed under a Creative Commons Attribution-Non Commercial-Share Alike 3.0 License. BabelNet is now a self-sustained project with Babelscape as its commercial support arm, thanks to which the project will be continued and improved over time.
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BabelNet won the Prominent Paper Award 2017 from Artificial Intelligence, the most prestigious journal in the field of AI. This year the award selected the best article published in 2009-2016. The paper, authored by Roberto Navigli and Simone Paolo Ponzetto, presents the algorithmic techniques for creating and evaluating the BabelNet multilingual semantic network. Reference paper.
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