ArEntail: manually-curated Arabic natural language inference dataset from news headlines

Obeidat, Rasha; Al-Harahsheh, Yara; Al-Ayyoub, Mahmoud; Gharaibeh, Maram

doi:10.1007/s10579-024-09731-1

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2024

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“…DistilBERT provided better classification during the analysis phase. Obeidat et al [14] introduced the ArEntail dataset obtained from news headlines for Arabic NLI and used BERT-based AraBERT-base and RoBERTa-based XLM-R-ar prior LLMs to evaluate this dataset. As a result of the evaluation, AraBERT showed the best performance.…”

Section: Related Workmentioning

confidence: 99%

Performance Comparison of Large Language Models, GPT and Gemini on Turkish News Classification Task

Guven

2024

Preprint

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Recently, large language models-LLMs have become very popular in many tasks of natural language processing. Examples of these tasks include text classification, question answering, text summarization, and text generation for natural language processing. Apart from LLMs, GPT and Gemini models are at the top of the list in terms of use for text generation tasks. This study aims to contribute to the literature on the use and comparison of LLMs and text generation models for the Turkish language. To achieve this purpose, the dataset consisting of Turkish news was classified by training BERT, ALBERT, DistilBERT, ELECTRA, XLM-RoBERTA LLMs with fine-tuning. Additionally, GPT-3.5 and Gemini text generation models were used by sending prompts for this classification task, and the success of the models was compared with LLMs. As a result of all analyses, the BERT model gave 97.619% accuracy among LLMs, while Gemini gave 99.167% accuracy among text generation models.

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Section: Related Workmentioning

confidence: 99%

Performance Comparison of Large Language Models, GPT and Gemini on Turkish News Classification Task

Guven

2024

Preprint

View full text Add to dashboard Cite

show abstract

ArEntail: manually-curated Arabic natural language inference dataset from news headlines

Cited by 1 publication

References 39 publications

Performance Comparison of Large Language Models, GPT and Gemini on Turkish News Classification Task

Performance Comparison of Large Language Models, GPT and Gemini on Turkish News Classification Task

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