ArabiGEE introduces the first hierarchical taxonomy for Arabic grammatical error explanation, with 27 error types, 140 correction types, and 324 explanations, applied to annotate corpora and evaluate LLMs.
Behrang Mohit, Alla Rozovskaya, Nizar Habash, Wa- jdi Zaghouani, and Ossama Obeid
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A tree-of-thoughts inspired hybrid extractive-abstractive LLM prompt yields better legal case judgment summaries than standard extractive or abstractive prompts.
citing papers explorer
-
ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation
ArabiGEE introduces the first hierarchical taxonomy for Arabic grammatical error explanation, with 27 error types, 140 correction types, and 324 explanations, applied to annotate corpora and evaluate LLMs.
-
A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs
A tree-of-thoughts inspired hybrid extractive-abstractive LLM prompt yields better legal case judgment summaries than standard extractive or abstractive prompts.