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I-AID: Identifying Actionable Information from Disaster-related Tweets

I-AID: Identifying Actionable Information from Disaster-related Tweets

4 August 2020
Hamada M. Zahera
Rricha Jalota
M. A. Sherif
A. N. Ngomo
ArXivPDFHTML

Papers citing "I-AID: Identifying Actionable Information from Disaster-related Tweets"

6 / 6 papers shown
Title
Harnessing Large Language Models for Disaster Management: A Survey
Harnessing Large Language Models for Disaster Management: A Survey
Zhenyu Lei
Yushun Dong
Weiyu Li
Rong Ding
Qi Wang
Jundong Li
AI4CE
56
3
0
12 Jan 2025
Information Type Classification with Contrastive Task-Specialized
  Sentence Encoders
Information Type Classification with Contrastive Task-Specialized Sentence Encoders
Philipp Seeberger
Tobias Bocklet
Korbinian Riedhammer
25
1
0
18 Dec 2023
Enhancing Crisis-Related Tweet Classification with Entity-Masked
  Language Modeling and Multi-Task Learning
Enhancing Crisis-Related Tweet Classification with Entity-Masked Language Modeling and Multi-Task Learning
Philipp Seeberger
Korbinian Riedhammer
21
6
0
21 Nov 2022
The Ethical Risks of Analyzing Crisis Events on Social Media with
  Machine Learning
The Ethical Risks of Analyzing Crisis Events on Social Media with Machine Learning
Angelie Kraft
Ricardo Usbeck
19
4
0
07 Oct 2022
Graph Neural Network Enhanced Language Models for Efficient Multilingual
  Text Classification
Graph Neural Network Enhanced Language Models for Efficient Multilingual Text Classification
Samujjwal Ghosh
Subhadeep Maji
M. Desarkar
6
16
0
06 Mar 2022
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,368
0
25 Aug 2014
1