Models.md

Models

This document describe the various models used by MARGE to make predictions. MARGE makes multiple passes over the data in the same way that a human would make multiple drafts.

First Pass

This is the data that MARGE looks at during the first pass.

name	type	description	example
has_enwiki_title	boolean	Matched with Wikidata	1
has_population_between_1_and_1_thousand	boolean		0
has_population_between_1_thousand_and_1_million	boolean		1
has_population_between_one_milion_and_ten_million	boolean		0
has_population_over_ten_million	boolean		0
importance	float	Importance from OSMNames	0.54
population_is_zero	boolean	Population is zero in the db

Second Pass

name	type	description	example
median_cooccurrence	integer	how likely co-occurs with other places	.43
score	float	score from the previous pass	1.123

Third Pass (under development)

In this model, MARGE evaluates whether a word should be resolved to a place or not. For example, the model will evaluate that 'Obama' is usually meant as the president and not the place in Japan. In other words, it decides whether a place should be resolved for the originating word at all.

name	type	description	example
second_round_score	float	score from second round	1.4213
place_frequency	float	how often name is a place in Wikipedia