Papers by Ömer Özsoy

1 papers
Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature (2022.coling-1)

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Challenge: Named entity recognition and topic modeling are crucial for downstream tasks in natural language processing.
Approach: They propose to address named entity recognition and topic modeling on CA literature . they manually annotate the work of Tafsir Al-Tabari with span-based NEs .
Outcome: The results show that the proposed task can perform state-of-the-art on historical topic models.

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