Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Tariq Alhindi

Tariq Alhindi
Alert button

Multitask Instruction-based Prompting for Fallacy Recognition


Jan 24, 2023
Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, Smaranda Muresan

Add code
Alert button

Figure 1 for Multitask Instruction-based Prompting for Fallacy Recognition
Figure 2 for Multitask Instruction-based Prompting for Fallacy Recognition
Figure 3 for Multitask Instruction-based Prompting for Fallacy Recognition
Figure 4 for Multitask Instruction-based Prompting for Fallacy Recognition
* Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8172 - 8187 
 * In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8172 - 8187 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking


May 18, 2021
Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, Muhammad Abdul-Mageed, Preslav Nakov

Add code
Alert button

Figure 1 for AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
Figure 2 for AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
Figure 3 for AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
Figure 4 for AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
* Accepted to the 2021 Workshop on NLP4IF: Censorship, Disinformation, and Propaganda 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays


Mar 08, 2021
Tariq Alhindi, Debanjan Ghosh

Add code
Alert button

Figure 1 for "Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays
Figure 2 for "Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays
Figure 3 for "Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays
Figure 4 for "Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays
* Accepted to the 16th Workshop on Innovative Use of NLP for Building Educational Applications. Co-located with EACL 2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Machine Generation and Detection of Arabic Manipulated and Fake News


Nov 05, 2020
El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed, Tariq Alhindi, Hasan Cavusoglu

Add code
Alert button

Figure 1 for Machine Generation and Detection of Arabic Manipulated and Fake News
Figure 2 for Machine Generation and Detection of Arabic Manipulated and Fake News
Figure 3 for Machine Generation and Detection of Arabic Manipulated and Fake News
Figure 4 for Machine Generation and Detection of Arabic Manipulated and Fake News
* 10 pages, accepted in The Fifth Arabic Natural Language Processing Workshop (WANLP 2020) 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking


Apr 27, 2020
Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab, Smaranda Muresan

Add code
Alert button

Figure 1 for DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
Figure 2 for DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
Figure 3 for DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
Figure 4 for DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
* ACL 2020 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels


Oct 22, 2019
Tariq Alhindi, Jonas Pfeiffer, Smaranda Muresan

Add code
Alert button

Figure 1 for Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
Figure 2 for Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
Figure 3 for Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
Figure 4 for Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
* Accepted to the 2nd Workshop on NLP for Internet Freedom (NLP4IF): Censorship, Disinformation, and Propaganda 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email