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ORCIDMohamed Elaraby
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2020 – today
- 2024
[c10]Mohamed Elaraby, Yang Zhong, Diane J. Litman, Ahmed Ashraf Butt, Muhsin Menekse:
ReflectSumm: A Benchmark for Course Reflection Summarization. LREC/COLING 2024: 13819-13846- [i7]Yang Zhong, Mohamed Elaraby, Diane J. Litman, Ahmed Ashraf Butt, Muhsin Menekse:
ReflectSumm: A Benchmark for Course Reflection Summarization. CoRR abs/2403.19012 (2024) - [i6]Mohamed Elaraby, Diane J. Litman, Xiang Lorraine Li, Ahmed Magooda:
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking. CoRR abs/2406.13905 (2024) - 2023
- [c9]Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking. ACL (Findings) 2023: 7601-7612 - [c8]Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. ArgMining@EMNLP 2023: 120-132 - [i5]Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking. CoRR abs/2306.00672 (2023) - [i4]Mohamed Elaraby, Mengyin Lu, Jacob Dunn, Xueying Zhang, Yu Wang, Shizhu Liu:
Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models. CoRR abs/2308.11764 (2023) - [i3]Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. CoRR abs/2310.12172 (2023) - 2022
- [c7]Mohamed Elaraby, Diane J. Litman:
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining. COLING 2022: 6187-6194 - [i2]Mohamed Elaraby, Diane J. Litman:
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining. CoRR abs/2209.01650 (2022) - 2021
- [c6]Mohamed Elaraby, Diane J. Litman:
Self-trained Pretrained Language Models for Evidence Detection. ArgMining@EMNLP 2021: 142-147 - [c5]Ahmed Magooda
, Diane J. Litman, Mohamed Elaraby:
Exploring Multitask Learning for Low-Resource Abstractive Summarization. EMNLP (Findings) 2021: 1652-1661 - [i1]Ahmed Magooda, Mohamed Elaraby, Diane J. Litman:
Exploring Multitask Learning for Low-Resource AbstractiveSummarization. CoRR abs/2109.08565 (2021)
2010 – 2019
- 2019
- [c4]Mohamed Elaraby, Ahmed H. Zahran:
A Character Level Convolutional BiLSTM for Arabic Dialect Identification. WANLP@ACL 2019 2019: 274-278 - 2018
- [c3]Muhammad Abdul-Mageed, Hassan Alhuzali, Mohamed Elaraby:
You Tweet What You Speak: A City-Level Dataset of Arabic Dialects. LREC 2018 - [c2]Mohamed Elaraby, Muhammad Abdul-Mageed:
Deep Models for Arabic Dialect Identification on Benchmarked Data. VarDial@COLING 2018 2018: 263-274 - [c1]Hassan Alhuzali, Mohamed Elaraby, Muhammad Abdul-Mageed:
UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models. WASSA@EMNLP 2018: 342-347
Coauthor Index
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