---
title: "Who cites LIM-LIG at SemEval-2017 Task1: — 4 citing papers"
description: "4 papers of the Elamur Research library cite «LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with…"
canonical: "https://research.elamur.ai/free/en/papers/nagoudi-2017-lim-lig-semeval-2017-task1/cited-by/"
---
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# Who cites «LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting»](https://md.research.elamur.ai/free/en/papers/nagoudi-2017-lim-lig-semeval-2017-task1/)

1. **[SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation](https://md.research.elamur.ai/free/en/papers/cer-2017-semeval-2017-task-1-semantic/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Daniel Cer, Mona Diab, Eneko Agirre, et al.*2017 · 1,828 citations*
2. **[AR-ASAG An ARabic Dataset for Automatic Short Answer Grading Evaluation](https://md.research.elamur.ai/free/en/papers/ouahrani-2020-ar-asag-arabic-dataset-automatic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Leila Ouahrani, Djamal Bennouar*2020 · 18 citations*
3. **[Challenging the Transformer-based models with a Classical Arabic dataset: Quran and Hadith](https://md.research.elamur.ai/free/en/papers/altammami-2022-challenging-transformer-based-models-classical/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shatha Altammami, Eric Atwell*2022 · 6 citations*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/nagoudi-2017-lim-lig-semeval-2017-task1/) — LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting