https://github.com/esipfed/query-understanding
Improve Earth Data Discovery through Deep Query Understanding (ESIP Incubator project)
https://github.com/esipfed/query-understanding
earth-data-discovery earth-science esip esip-lab geoparsing nlp-machine-learning
Last synced: 10 months ago
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Improve Earth Data Discovery through Deep Query Understanding (ESIP Incubator project)
- Host: GitHub
- URL: https://github.com/esipfed/query-understanding
- Owner: ESIPFed
- Created: 2017-11-09T00:51:41.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-06-27T14:57:32.000Z (almost 8 years ago)
- Last Synced: 2024-04-15T02:59:31.436Z (about 2 years ago)
- Topics: earth-data-discovery, earth-science, esip, esip-lab, geoparsing, nlp-machine-learning
- Language: Jupyter Notebook
- Size: 1.71 MB
- Stars: 6
- Watchers: 11
- Forks: 1
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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README
# query-understanding
Improve Earth Data Discovery through Deep Query Understanding (ESIP Incubator project)
The goals of this project include:
* Create an open-source query understanding solution for Earth sciences that fills the aforementioned intent gap in Earth data discovery;
* Provide a proof-of-concept for deep learning and natural language processing in Earth data/knowledge discovery that can be shared with the broader Earth Science Community, including ESIP and interested scientists worldwide through presentations and one or more papers;
* Implement technologies or activities furthering ESIP goals of Discovery, Earth Science Cyber-infrastructure, as well as Semantic Technologies