Abderrafih Lehmam
ABSTRACT
With the advent of electronic textual documents following the fulgurating development of data processing, there are now pressing needs to extract useful and reusable information from text. It is thus quite natural to address the problem of the overabundance of digital textual information. The technology of automatic text summarization, along with other solutions in the area of text mining, tries to remedy this by providing easier access to essential information, in condensed form and for better potential reuse. Through a specific process, this technology makes it possible to analyze a text in order to extract only efficient information for reuse in view of precise goals, saving time and enhancing productivity. We have developed an automatic summarization software called Essential Summarizer, with an approach based on linguistic techniques to perform semantic analysis of written text. This innovative application is very fast and produces summaries tailored to the user's needs in twenty languages.
References
- Lehmam A. "Text structuration leading to an automatic summary system", Information Processing and Management, 35, 181--191, 1999, Elsevier Science, New York Google Scholar
Digital Library
- Lehmam A. "Automatic summarization on the Web?" 5ème Conference RIAO'97, pp. 112--124, 25-26-27 June 1997, University McGill, Montréal, Québec, Canada.Google Scholar
- Lehmam, A. "Le résumé automatique des textes scientifiques et techniques; aspects linguistiques et computationnels: réalisation du système RAFI", Thèse de Doctorat (PhD), 398 pages, 1995, Université Nancy 2, France.Google Scholar
- Paice C. D. "Constructing literature abstracts by computer techniques and prospects", Information Processing and Management, 1, 171--186, 1990, Elsevier Science, New York. Google ScholarDigital Library
- Edmundson H. P. "New methods in automatic extraction", Journal of the ACM, 1969, 16(2), 264--285 Google ScholarDigital Library
Index Terms
Essential summarizer
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