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PUBLIC MARKS with tag 1999

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October 2007

August 2007

"Dialogus", Sinclair Dumontais etc.

by schmul.net & 2 others
Correspondances avec des personnages célèbres (réels ou fictifs) via imels.

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June 2007

April 2007

January 2007

December 2006

"Thalia Les Fleurs", Lalex

by schmul.net
roman collectif :les visiteurs et Lalex, alternativement. inactif depuis 1999.

"Gondorla ou la seconde Nature", Bruno Pellier

by schmul.net
"Cette construction vise à créer, au moyen de textes de fiction, une utopie singulière propice à la contemplation et la réflexion".

November 2006

"AMNÉSIE", Grenier Pascal

by schmul.net & 3 others
Histoire dont vous êtes le héros. Vous vous réveillez amnésique avec un

PHALANGE, James Benoit

by schmul.net
on accède au texte grâce à un alphabet et puis après... écriture automatique

October 2006

"ECHO SYTEME" Julie Morel

by schmul.net
histoire en 5 ou 6 tableaux animés, récit d'un "examen" médical, où l'homme compose avec la machine

March 2006

Combining Ontologies and Terminologies in Information Systems

by arkandis
Ontologie et terminiologie l'un pour les machine l'autre pour les humains, comment faire cohabilter ces deux modes de représentation de connaissances.

February 2006

Introducing JSON

by bcpbcp & 12 others (via)
JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language, Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language.

Learning Information Extraction Rules for Semi-structured and Free Text - Soderland (ResearchIndex)

by bcpbcp (via)
A wealth of on-line text information can be made available to automatic processing by information extraction (IE) systems. Each IE application needs a separate set of rules tuned to the domain and writing style. WHISK helps to overcome this knowledge-engineering bottleneck by learning text extraction rules automatically. WHISK is designed to handle text styles ranging from highly structured to free text, including text that is neither rigidly formatted nor composed of grammatical sentences....

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