ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.08114
  4. Cited By
A Deep Learning Approach to Geographical Candidate Selection through
  Toponym Matching

A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching

17 September 2020
Mariona Coll Ardanuy
Kasra Hosseini
Katherine McDonough
A. Krause
Daniel Alexander van Strien
F. Nanni
ArXivPDFHTML

Papers citing "A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching"

2 / 2 papers shown
Title
Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy
  Multilingual User Input
Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input
Tessa Masis
Brendan T. O'Connor
20
1
0
29 Apr 2024
DeepType: Multilingual Entity Linking by Neural Type System Evolution
DeepType: Multilingual Entity Linking by Neural Type System Evolution
Jonathan Raiman
O. Raiman
BDL
HAI
112
183
0
03 Feb 2018
1