An Application of AOC-Posets: Indexing Large Corpuses for Text Generation Under Constraints

Alain Gutierrez 1 Michel Chein 1 Marianne Huchard 2 Pierre Pompidor 3
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
2 MAREL - Models And Reuse Engineering, Languages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this paper, we describe the different ingredients of the CogiText tool which can be used for building, editing, and using large corpuses for text generation under constraints à la Alamo. In Cogi-Text, AOC-posets are used as indexes that give information about the shape of the corpuses and that help to efficiently find terms for the text creation process. We give some figures about their size and the needed time for computing them and for making a specific text creation.
Keywords : Alamo Text Generation with Constraints AOC-poset Formal Concept Analysis
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LIRMM | CNRS | GRAPHIK | MAREL | ADVANSE | MIPS | INRIA | UNIV-MONTPELLIER

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Alain Gutierrez, Michel Chein, Marianne Huchard, Pierre Pompidor. An Application of AOC-Posets: Indexing Large Corpuses for Text Generation Under Constraints. ISMIS: International Symposium on Methodologies for Intelligent Systems, Warsaw University of Technology, Poland, Jun 2017, Warsaw, Poland. pp.642-652, ⟨10.1007/978-3-319-60438-1_63⟩. ⟨lirmm-01580830⟩

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