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From Text to Map, a state of art.

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Logo of Open Source Geospatial Foundation (OSGeo)Open Source Geospatial Foundation (OSGeo)
 Courtin, Olivier

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From Text to Map, a state of art.
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295
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Natural Language Processing, has been revivified by Deep Learning approaches. This presentation will show what we already can achieve to convert plain Text to Map. Think for instance, to retrieving geometries conveys by an article, a book or a Tweet.
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