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Conference Papers Year : 2007

Extraction d'entités dans des collections évolutives


The goal of our work is to use a set of reports and extract named entities, in our case the names of Industrial or Academic partners. Starting with an initial list of entities, we use a first set of documents to identify syntactic patterns that are then validated in a supervised learning phase on a set of annotated documents. The complete collection is then explored. This approach is similar to the ones used in data extraction from semi-structured documents (wrappers) and do not need any linguistic resources neither a large set for training. As our collection of documents would evolve over years , we hope that the performance of the extraction would improve with the increased size of the training set.
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Dates and versions

inria-00116910 , version 1 (28-11-2006)
inria-00116910 , version 2 (19-06-2007)
inria-00116910 , version 3 (13-07-2007)
inria-00116910 , version 4 (20-07-2007)


  • HAL Id : inria-00116910 , version 4
  • ARXIV : 0706.2797


Thierry Despeyroux, Eduardo Fraschini, Anne-Marie Vercoustre. Extraction d'entités dans des collections évolutives. 7ièmes Journées francophones Extraction et Gestion des Connaissances EGC 2007, Jan 2007, Namur, Belgique. pp.533-538. ⟨inria-00116910v4⟩


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