Kais Haddar


2015

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Automatic Construction of a TMF Terminological Database using a Transducer Cascade
Chihebeddine Ammar | Kais Haddar | Laurent Romary
Proceedings of the International Conference Recent Advances in Natural Language Processing

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Arabic Named Entity Recognition Process using Transducer Cascade and Arabic Wikipedia
Fatma Ben Mesmia | Kais Haddar | Denis Maurel | Nathalie Friburger
Proceedings of the International Conference Recent Advances in Natural Language Processing

2011

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A New Representation Model for the Automatic Recognition and Translation of Arabic Named Entities with NooJ
Héla Fehri | Kais Haddar | Abdelmajid Ben hamadou
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

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Construction of an HPSG Grammar for the Arabic Relative Sentences
Ines Zalila | Kais Haddar
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

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Analyses Tools for Non-head Structures
Sirine Boukédi | Kais Haddar
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

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Recognition and Translation of Arabic Named Entities with NooJ Using a New Representation Model
Héla Fehri | Kais Haddar | Abdelmajid Ben Hamadou
Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing

2010

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A Syntactic Lexicon for Arabic Verbs
Noureddine Loukil | Kais Haddar | Abdelmajid Benhamadou
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

In this paper, we present a modeling of a syntactic lexicon for Arabic verbs. The structure of the lexicon is based on the recently introduced ISO standard called the Lexical Markup Framework. This standard enables us to describe the lexical information in a versatile way using general guidelines and make possible to share the resources developed in compliance with it. We discuss the syntactic information associated to verbs and the model we propose to structure and represent the entries within the lexicon. To study the usability of the lexicon in a real application, we designed a rule-based system that translates a LMF syntactic resource into Type Description Language compliant resource. The rules are mapping information from LMF entries and types to TDL types. The generated lexicon is used as input for a previously written HPSG grammar for Arabic built within the Language Knowledge Builder platform. Finally, we discuss improvements in parsing results and possible perspectives of this work.