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Mohamed S. Elaraby

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL2

identity via Semantic Scholar / OpenAlex

most citedArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining

13 citations · 13 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2022★ 13 cited

ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining

Mohamed Elaraby, Diane Litman

A challenging task when generating summaries of legal documents is the ability to address their argumentative nature. We introduce a simple technique to capture the argumentative s…

cs.CL2021

Exploring Multitask Learning for Low-Resource AbstractiveSummarization

Ahmed Magooda, Mohamed Elaraby, Diane Litman

This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different task…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.