Summary of Thatiar: Subjectivity Detection in Arabic News Sentences, by Reem Suwaileh et al.
ThatiAR: Subjectivity Detection in Arabic News Sentences
by Reem Suwaileh, Maram Hasanain, Fatema Hubail, Wajdi Zaghouani, Firoj Alam
First submitted to arxiv on: 8 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed study tackles the crucial task of detecting subjectivity in news sentences, particularly in Arabic, a language underserved in this area. The research aims to create a large-scale dataset for subjectivity detection, comprising around 3.6K manually annotated sentences, leveraging GPT-4o and LLMs for explanation and fine-tuning. The study provides an in-depth analysis of the dataset, annotation process, and benchmark results using PLMs and LLMs. Notably, the annotation process reveals that annotators’ political, cultural, and religious backgrounds had a significant impact on their judgments, especially at the beginning. The experimental findings suggest that LLMs with in-context learning outperform other models. This study seeks to release the dataset and resources for the community. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about creating a big tool to help people identify biased news articles in Arabic. It’s important because it can help readers make better decisions, think more critically, and get accurate information. Right now, there aren’t many tools like this for Arabic, which makes it harder to understand public opinions and media credibility. The researchers made a huge dataset of labeled sentences and tested different ways to do the task using big language models. They found that one type of model worked better than others. This paper is sharing its findings with the community so everyone can use these tools to improve media literacy. |
Keywords
» Artificial intelligence » Fine tuning » Gpt
