activity
20122026
most citedA Machine Learning Approach For Opinion Holder Extraction In Arabic Language

106 citations · 106 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Towards Structuring an Arabic-English Machine-Readable Dictionary Using Parsing Expression Grammars

Diaa M. Fayed, Aly A. Fahmy, Mohsen A. Rashwan +1

Dictionaries are rich sources of lexical information about words that is required for many applications of natural language processing and human language technology. However, publi…

cs.CL2026

Extracting Knowledge from an Arabic-English Machine-Readable Dictionary Using Information Extraction

Diaa M. Fayed, Aly A. Fahmy, Mohsen A. Rashwan +1

Natural language processing (NLP) applications need large and rich amount of linguistic knowledge. Furthermore, electronic language sources such as dictionaries, encyclopedia, and…

cs.CL2026

Automatic Part-of-Speech Tagging of Arabic-English Dictionary Senses through WordNet

Diaa M. Fayed, Aly A. Fahmy, Mohsen A. Rashwan +1

This paper proposed an algorithm for part-of-speech (POS) tagging senses of a bilingual dictionary. The algorithm is applied on the Al-Mawrid Arabic-English dictionary. The tagging…

cs.CL2021

Zero-Resource Multi-Dialectal Arabic Natural Language Understanding

Muhammad Khalifa, Hesham Hassan, Aly Fahmy

A reasonable amount of annotated data is required for fine-tuning pre-trained language models (PLM) on downstream tasks. However, obtaining labeled examples for different language…

cs.IR2012★ 106 cited

A Machine Learning Approach For Opinion Holder Extraction In Arabic Language

Mohamed Elarnaoty, Samir AbdelRahman, Aly Fahmy

Opinion mining aims at extracting useful subjective information from reliable amounts of text. Opinion mining holder recognition is a task that has not been considered yet in Arabi…