@article{(Open Science Index):https://publications.waset.org/pdf/1014,
	  title     = {Semi-Automatic Analyzer to Detect Authorial Intentions in Scientific Documents},
	  author    = {Kanso Hassan and  Elhore Ali and  Soule-dupuy Chantal and  Tazi Said},
	  country	= {},
	  institution	= {},
	  abstract     = {Information Retrieval has the objective of studying
models and the realization of systems allowing a user to find the
relevant documents adapted to his need of information. The
information search is a problem which remains difficult because the
difficulty in the representing and to treat the natural languages such
as polysemia. Intentional Structures promise to be a new paradigm to
extend the existing documents structures and to enhance the different
phases of documents process such as creation, editing, search and
retrieval. The intention recognition of the author-s of texts can reduce
the largeness of this problem. In this article, we present intentions
recognition system is based on a semi-automatic method of
extraction the intentional information starting from a corpus of text.
This system is also able to update the ontology of intentions for the
enrichment of the knowledge base containing all possible intentions
of a domain. This approach uses the construction of a semi-formal
ontology which considered as the conceptualization of the intentional
information contained in a text. An experiments on scientific
publications in the field of computer science was considered to
validate this approach.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {1},
	  year      = {2008},
	  pages     = {55 - 60},
	  ee        = {https://publications.waset.org/pdf/1014},
	  url   	= {https://publications.waset.org/vol/13},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 13, 2008},
	}