Full text geoparsing as a Python library

Full text geoparsing/toponym resolution with event geolocation

geoparsepy is a Python geoparsing library that will extract and disambiguate locations from text. It uses a local OpenStreetMap database which allows very high and unlimited geoparsing throughput, unlike approaches that use a third-party geocoding service (e.g. Google Geocoding API). this repository holds Python examples to use the PyPI library.

EpiTator annotates epidemiological information in text documents. It is the natural language processing framework that powers GRITS and EIDR Connect.

Full resources supporting the publication "A Pragmatic Guide to Geoparsing Evaluation."

Resources for the ACL 2018 publication "Which Melbourne? Augmenting Geocoding with Maps", published in July 2018.

The accompanying code and data for the Springer 2017 publication "What's missing in geographical parsing?" in Language Resources and Evaluation.

The code and data accompanying the ACL 2017 "outstanding award" publication "Vancouver Welcomes You! Minimalist Location Metonymy Resolution"

Jupyter notebook for geoparsing French historical documents with the PERDIDO Geoparser

Repository for code underlying the paper 'Resolving Places, Past and Present: Toponym Resolution in Historical British Newspapers Using Multiple Resources'.

Context-Hierarchy Fusion: An unsupervised Toponym Resolution algorithm using context features of documents and spatial-hierarchies of locations

A library to extract historical toponyms from texts, geocode and visualize the results on maps.

Jupyter notebook for geoparsing French hike descriptions with the PERDIDO Geoparser

Scoring script of the MEDDOPLACE Shared Task