Oussama Ben Khiroun

Oussama Ben Khiroun
University of Carthage | UCAR · Faculty of Economic Sciences and Management, Nabeul

Ph.D. in Computer Science

About

31
Publications
4,773
Reads
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171
Citations
Introduction
I am Oussama Ben Khiroun, a computer engineer 💻 and a doctor (Ph. D.) 🎓 in computer science from the National School of Computer Sciences (ENSI), University of Manouba, Tunisia. I work as assistant professor 👨‍🏫 at the Faculty of Economics and Management of Nabeul (FSEGN), University of Carthage. I am a member of RIADI laboratory. My main researches 🔎 focus on Arabic Information Retrieval (IR), Cross-Language Information Retrieval (CLIR), Query Disambiguation and Expansion, NLP.
Additional affiliations
September 2019 - present
University of Carthage
Position
  • Professor (Assistant)
Description
  • FSEGN web site : http://www.fsegn.rnu.tn/
November 2014 - September 2019
National Engineering School of Sousse
Position
  • Professor (Assistant)
Description
  • ENISo web site : http://www.eniso.rnu.tn
January 2012 - March 2018
Université de la Manouba
Position
  • PhD in Computer Science
Description
  • JARIR web page: http://www.jarir.tn/oussamabenkhiroun
Education
October 2009 - October 2010
September 2006 - June 2009

Publications

Publications (31)
Article
Automatic text summarization is considered as an important task in various fields in natural language processing such as information retrieval. It is a process of automatically generating a text representation. Text summarization can be a solution to the problem of information overload. Hence, with the large amount of information available on the I...
Article
Full-text available
Automatic text summarization is the process of generating or extracting a brief representation of an input text. There are several algorithms for extractive summarization in the literature tested by using English and other languages datasets; however, only few extractive Arabic summarizers exist due to the lack of large collection in Arabic languag...
Chapter
Different techniques are used in text mining to analyze data, extract knowledge, information and relations. We aim in this work to extract related terms for specific keywords. In the first step, we extract Arabic keywords from news articles titles using the TF-IDF terms weighting measure. In the next step, we extract the related terms, from both ti...
Conference Paper
Different techniques are used in text mining to analyze data, extract knowledge, information and relations. We aim in this work to extract related terms for specific keywords. In the first step, we extract Arabic keywords from news articles titles using the TF-IDF terms weighting measure. In the next step, we extract the related terms, from both ti...
Poster
Full-text available
Le projet ANT (Arabic News Texts) vise à collecter un corpus de textes d’actualités en langue Arabe à partir de plusieurs sources d’actualités. Ce corpus peut être utilisé dans différentes tâches pour le traitement du langage naturel à savoir la classification de textes, l’extraction d’événements ainsi que la recherche d’information. Dans cet artic...
Conference Paper
Event extraction is a common task for different applications such as text summarization and information retrieval. We propose, in this work, a TF-IDF based approach for extracting keywords from Arabic news articles’ titles. These keywords will serve to extract the main events for each month using a Part-of-Speech (POS) co-occurrence based approach....
Thesis
Full-text available
This Ph.D. thesis proposes possibilistic models for word sense disambiguation (WSD) and query expansion (QE) applied in monolingual and cross-language information retrieval (IR). In order to solve the problem of semantic ambiguity in an uncertain and imprecise IR context, the possibility theory is appropriated for this kind of application. Indeed,...
Poster
Full-text available
We propose in this paper a new online Arabic corpus of news articles, named ANT Corpus, which is collected from RSS Feeds. Each document represents an article structured in the standard XML TREC format. We use the ANT Corpus for Text Classification (TC) by applying the SVM and Naive Bayes (NB) classifiers to assign to each article its accurate pred...
Conference Paper
Full-text available
We propose in this paper a new online Arabic corpus of news articles, named ANT Corpus, which is collected from RSS Feeds. Each document represents an article structured in the standard XML TREC format. We use the ANT Corpus for Text Classification (TC) by applying the SVM and Naive Bayes (NB) classifiers to assign to each article its accurate pred...
Conference Paper
We show in this paper how Semantic Query Disambiguation (SQD) combined with Semantic Query Expansion (SQE) can improve the effectiveness of intelligent information retrieval. Firstly, we propose and assess a possibilistic-based approach mixing SQD and SQE. This approach is based on corpus analysis using co-occurrence graphs modeled by possibilistic...
Conference Paper
We propose in this paper a new standard Arabic test collection for mono- and cross-language Information Retrieval (CLIR). To do this, we exploit the “Hadith” texts and we provide a portal for sampling and evaluation of Hadiths’ results listed in both Arabic and English versions. The new called “Kunuz” standard Arabic test collection will promote an...
Article
Full-text available
This paper proposes and assesses a new possibilistic approach for automatic monolingual word sense disambiguation (WSD). In fact, in spite of their advantages, the traditional dictionaries suffer from the lack of accurate information useful for WSD. Moreover, there exists a lack of high-coverage semantically labeled corpora on which methods of lear...
Article
Full-text available
This paper proposes and assesses a new possibilistic approach for automatic monolingual word sense disambiguation (WSD). In fact, in spite of their advantages, the traditional dictionaries suffer from the lack of accurate information useful for WSD. Moreover, there exists a lack of high-coverage semantically labeled corpora on which methods of lear...
Conference Paper
Full-text available
We propose in this paper a new standard Arabic test collection for mono-and cross-language Information Retrieval (CLIR). To do this, we exploit the "Hadith" texts and we provide a portal for sampling and evaluation of Hadiths' results listed in both Arabic and English versions. The new called "Kunuz" standard Arabic test collection will promote and...
Article
The 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), Angers, Loire Valley, France.; 03/2014
Data
19th International Conference on Application of Natural Language to Information Systems, Montpellier, France; 01/2014
Article
The 24th Conference on Computational Linguistics and Speech Processing (ROCLING 2012); 09/2012
Conference Paper
We study in this paper the impact of Word Sense Disambiguation (WSD) on Query Expansion (QE) for monolingual intelligent information retrieval. The proposed approaches for WSD and QE are based on corpus analysis using co-occurrence graphs and possibilistic networks. Indeed, our model for relevance judgment uses possibility theory to take advantages...
Conference Paper
Full-text available
We study in this paper the impact of Word Sense Disambiguation (WSD) on Query Expansion (QE) for monolingual intelligent information retrieval. The proposed approaches for WSD and QE are based on corpus analysis using co-occurrence graphs modelled by possibilistic networks. Indeed, our model for relevance judgment uses possibility theory to take ad...
Conference Paper
Full-text available
نقدم، في هذا المقال، مشروع "كنوز" المتمثل في مدونة مرجعية للبحث عن المعلومة باللغة العربية والإنجليزية. إن مشروع "كنوز" يرتكز على نصوص الحديثا لنبوي باللغتين المذكورتين ونقترح عبر بوابة "كنوز المصطفى" برنامجا لتقييم نتائج البحث عن إستعلامات تمت تجميعها وفق طريقة تريك. نهدف من خلال المدونة المرجعية إلى النهوض بالبحوث باللغة العربية ولغات أخرى.
Poster
Full-text available
We aim to build a new standard Arabic test collection for mono-and cross-language Information Retrieval (CLIR). To do this, we exploit the "Hadith" texts and we provide a portal for sampling and evaluation of Hadiths' results listed in both Arabic and English versions. The portal will also offer simple search functionality for the general public us...
Chapter
This paper presents a new possibilistic information retrieval system using semantic query expansion. The work is involved in query expansion strategies based on external linguistic resources. In this case, the authors exploited the French dictionary “Le Grand Robert”. First, they model the dictionary as a graph and compute similarities between quer...
Conference Paper
This paper presents and experiments a new approach for automatic word sense disambiguation (WSD) applied for French texts. First, we are inspired from possibility theory by taking advantage of a double relevance measure (possibility and necessity) between words and their contexts. Second, we propose, analyze and compare two different training metho...
Conference Paper
Full-text available
This paper presents and experiments a new approach for automatic word sense disambiguation (WSD) applied for French texts. First, we are inspired from possibility theory by taking advantage of a double relevance measure (possibility and necessity) between words and their contexts. Second, we propose, analyze and compare two different training metho...
Article
This paper presents a new possibilistic information retrieval system using semantic query expansion. The work is involved in query expansion strategies based on external linguistic resources. In this case, the authors exploited the French dictionary "Le Grand Robert". First, they model the dictionary as a graph and compute similarities between quer...
Conference Paper
This paper presents a new possibilistic approach for semantic query expansion in an information retrieval system. The approach fall into the category of query expansion strategies based on external linguistic resources. In our case, we exploited the French dictionary "Le Grand Robert". We are inspired from the possibilistic networks theory by takin...
Conference Paper
Full-text available
This paper presents a new possibilistic approach for semantic query expansion in an information retrieval system. The approach fall into the category of query expansion strategies based on external linguistic resources. In our case, we exploited the French dictionary "Le Grand Robert". We are inspired from the possibilistic networks theory by takin...

Questions

Question (1)
Question
Can you tell me some visualization tools for GIZA++ alignement results other than "SWIFT Aligner" and "CAIRO Aligner"?

Network

Cited By

Projects

Projects (2)
Archived project
Project data description : http://www.jarir.tn/kunuzcorpus Kunuz is a standard Arabic test collection for mono- and cross-language Information Retrieval (CLIR). The project deals with “Hadith” texts and provide a portal for sampling and evaluation of Hadiths’ results listed in both Arabic and English versions. The new called “Kunuz” standard Arabic test collection aims to promote the development of Arabic mono retrieval and CLIR systems abandoned since the earlier TREC-2001 and TREC-2002 editions.
Project
🐜 ANT Corpus stands for "Arabic News Texts Corpus". It is a research project that aims to collect texts from different sources of the web by incrementing the amount of data progressively. 🔗 Website: https://antcorpus.github.io/ ------------------------------------------------------------------ مشروع نملة 🐜 إختصار ل"نصوص مكنزية للأخبار العربية". وهو مشروع بحثي يهدف إلى جمع النصوص الإخبارية باللغة العربية من مصادر مختلفة على شبكة الإنترنت عن طريق زيادة كمية البيانات تدريجيا.