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
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
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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.
BabelNet covers 284 languages from all continents, including:
- Afrikaans
- Arabic
- Chinese
- English
- French
- German
- Greek
- Hebrew
- Hindi
- Italian
- Japanese
- Korean
- Portuguese
- Punjabi
- Russian
- Spanish
- Swedish
- Tagalog
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- and more...
BabelNet covers 62 domains. E.g. games includes:
BabelNet contains 15 243 400 synsets (i.e., entries), e.g.:
