Confli-T5: An AutoPrompt Pipeline for Conflict Related Text Augmentation-Reference-Cited by-同舟云学术

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Confli-T5: An AutoPrompt Pipeline for Conflict Related Text Augmentation

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Parolin Erick Skorupa¹,Hu Yibo¹,Khan Latifur¹,Brandt Patrick T.²,Osorio Javier³,D'Orazio Vito²

Affiliation:

1. The University of Texas at Dallas,Department of Computer Science,Richardson,Texas

2. The University of Texas at Dallas,School of Economic, Political, and Policy Sciences,Richardson,Texas

3. University of Arizona,School of Government and Public Policy,Tucson,Arizona

Funder

Arm

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020509.pdf?arnumber=10020509

Reference47 articles.

1. Multi-CoPED

2. Supervised event coding from text written in Arabic: Introducing hadath;osorio;Proceedings of the Workshop on Automated Extraction of Socio-political Events from News 2020,0

3. ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence

4. Mpeds: Automating the generation of protest event data;hanna,2017

5. Auto-prompt: Eliciting knowledge from language models with automatically generated prompts;shin;Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP),0

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