Detecting geospatial location descriptions in natural language text-Reference-Cited by-同舟云学术

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Detecting geospatial location descriptions in natural language text

Published:2021-12-22 Issue: Volume: Page:1-38
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Stock Kristin¹,Jones Christopher B.²^ORCID,Russell Shaun¹,Radke Mansi³,Das Prarthana³,Aflaki Niloofar¹

Affiliation:

1. Massey Geoinformatics Collaboratory, Massey University, Auckland, New Zealand

2. School of Computer Science and Informatics, Cardiff University, Cardiff, UK

3. Computer Science and Engineering Department, Visvesvaraya National Institute of Technology, Nagpur, India

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2021.1987441

Reference58 articles.

1. Geospatial extreme event establishing using social network’s text analytics

2. Enriching Word Vectors with Subword Information

3. “What” Effects on “Where”: Functional Influences on Spatial Relations

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