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Transformer-based Multi-task Learning for Disaster Tweet Categorisation

Transformer-based Multi-task Learning for Disaster Tweet Categorisation

15 October 2021
Congcong Wang
P. Nulty
David Lillis
ArXivPDFHTML

Papers citing "Transformer-based Multi-task Learning for Disaster Tweet Categorisation"

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
23
6
0
21 Nov 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
UCD-CS at TREC 2021 Incident Streams Track
UCD-CS at TREC 2021 Incident Streams Track
Congcong Wang
David Lillis
6
1
0
07 Dec 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
304
6,996
0
20 Apr 2018
1