ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.07455
  4. Cited By
Are We There Yet? Evaluating State-of-the-Art Neural Network based
  Geoparsers Using EUPEG as a Benchmarking Platform

Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform

15 July 2020
Jimin Wang
Yingjie Hu
ArXiv (abs)PDFHTML

Papers citing "Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform"

2 / 2 papers shown
ArabicNLU 2024: The First Arabic Natural Language Understanding Shared
  Task
ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task
Mohammed Khalilia
Sanad Malaysha
Reem Suwaileh
Mustafa Jarrar
Alaa Aljabari
Tamer Elsayed
I. Zitouni
220
17
0
30 Jul 2024
Location reference recognition from texts: A survey and comparison
Location reference recognition from texts: A survey and comparisonACM Computing Surveys (ACM CSUR), 2022
Xuke Hu
Zhiyong Zhou
Hao Li
Yingjie Hu
F. Gu
J. Kersten
H. Fan
Friederike Klan
165
78
0
04 Jul 2022
1
Page 1 of 1