32 citations · 94 across the 9 of their papers we have counts for
9 papers
Extracting Arabic Relations from the Web
Shimaa M. Abd El-salam, Enas M. F. El Houby, A. K. Al Sammak +1
The goal of this research is to extract a large list or table from named entities and relations in a specific domain. A small set of a handful of instance relations is required as…
Keyphrase Based Evaluation of Automatic Text Summarization
Fatma Elghannam, Tarek El-Shishtawy
The development of methods to deal with the informative contents of the text units in the matching process is a major challenge in automatic summary evaluation systems that use fix…
The Best Templates Match Technique For Example Based Machine Translation
T. El-Shishtawy, A. El-Sammak
It has been proved that large scale realistic Knowledge Based Machine Translation applications require acquisition of huge knowledge about language and about the world. This knowle…
A Mobile Management System for Reforming Subsidies Distribution in Developing Countries
T. El-Shishtawy
This paper has a specific objective of being useful for showing how the advances in mobile technologies can help for solving social and political aspects involved in the reform of…
A Lemma Based Evaluator for Semitic Language Text Summarization Systems
Tarek El-Shishtawy, Fatma El-Ghannam
Matching texts in highly inflected languages such as Arabic by simple stemming strategy is unlikely to perform well. In this paper, we present a strategy for automatic text matchin…
A Hybrid Algorithm for Matching Arabic Names
T. El-Shishtawy
In this paper, a new hybrid algorithm which combines both of token-based and character-based approaches is presented. The basic Levenshtein approach has been extended to token-base…
Keyphrase Based Arabic Summarizer (KPAS)
Tarek El-Shishtawy, Fatma El-Ghannam
This paper describes a computationally inexpensive and efficient generic summarization algorithm for Arabic texts. The algorithm belongs to extractive summarization family, which r…
Arabic Keyphrase Extraction using Linguistic knowledge and Machine Learning Techniques
Tarek El-shishtawy, Abdulwahab Al-sammak
In this paper, a supervised learning technique for extracting keyphrases of Arabic documents is presented. The extractor is supplied with linguistic knowledge to enhance its effici…
An Accurate Arabic Root-Based Lemmatizer for Information Retrieval Purposes
Tarek El-Shishtawy, Fatma El-Ghannam
In spite of its robust syntax, semantic cohesion, and less ambiguity, lemma level analysis and generation does not yet focused in Arabic NLP literatures. In the current research, w…