From Text to Map, a state of art.

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.

Identifiers

10.5446/43414 (DOI)

Publisher

FOSS4G

Open Source Geospatial Foundation (OSGeo)

Release Date

2019

Language

English

Content Metadata

Subject Area

Computer Science

Genre

Conference/Talk

Abstract

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.

Keywords

General