Topic: geoparsing Goto Github
Some thing interesting about geoparsing
Some thing interesting about geoparsing
geoparsing,Full text geoparsing/toponym resolution with event geolocation
User: ahalterman
geoparsing,Wildfire Heat Map Generation with Twitter and BERT
User: cabralpinto
Home Page: https://recpad2022.ipleiria.pt/oral-session-0945-1045/
geoparsing,Dockerized version of geoparser service mordecai3 with API
User: davesamer
geoparsing,Improve Earth Data Discovery through Deep Query Understanding (ESIP Incubator project)
Organization: esipfed
geoparsing,MARGE: Model Artificially Resolving Geographic Entities
Organization: firstdraftgis
geoparsing,Evaluating State-of-the-Art Deep Learning Geoparsers
Organization: geoai-lab
geoparsing,Geoparse articles then geocode locations and visualize them
User: kemyke
Home Page: https://geoarticle.kemy.cc
geoparsing,Resources for the ACL 2018 publication "Which Melbourne? Augmenting Geocoding with Maps", published in July 2018.
User: milangritta
Home Page: https://www.aclweb.org/anthology/P18-1119/
geoparsing,Full resources supporting the publication "A Pragmatic Guide to Geoparsing Evaluation."
User: milangritta
Home Page: https://link.springer.com/article/10.1007/s10579-019-09475-3
geoparsing,The accompanying code and data for the Springer 2017 publication "What's missing in geographical parsing?" in Language Resources and Evaluation.
User: milangritta
Home Page: https://link.springer.com/article/10.1007/s10579-017-9385-8
geoparsing,Basic, Integrated, and Reliably Distributed/Dockerized Coding, Actors, and Geolocation for Events
Organization: openeventdata
geoparsing,Full text geoparsing as a Python library
Organization: openeventdata
geoparsing,Geographic Place, Date/time, and Pattern entity extraction toolkit along with text extraction from unstructured data and GIS outputters.
Organization: opensextant
geoparsing,Repository for the development of a library with features of: Geoparsing and Topic Modeling
User: richecr
Home Page: https://richecr.github.io/PyElit/
geoparsing,IDRISI is the largest-scale publicly-available Twitter Location Mention Prediction (LMP) datasets, in both English and Arabic languages. It contains 41 disaster events of different types (e.g., floods, fires). Annotations include tagged LMs in posts, location types (e.g., cities, streets), links to OSM toponyms, & usefulness of features for LMD.
User: rsuwaileh
geoparsing,This repository is for tracking and version control of the TFG - Big Data tool for the analysis of the evolution of geolocalized sentiment in the social network X
User: sergiodiaztech
geoparsing,This repository contains descriptions about how to reproduce our geoparsing evaluation study. More information can found in our paper "Geoparsing: Solved or Biased? An Evaluation of Geographic Biases in Geoparsing" accepted by AGILE 2022.
User: zilongliu-geo
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