In the work presented here, we try to automatically extract some product properties from descriptive texts provided by a merchant website. The constitution of an annotated ref- erence corpus reveals some problems, not only due to the texts but also to the specificities of the task. To handle it, two distinct approaches have been tested : an extraction method based on dictionaries and a machine learning approach making use of CRFs (Conditional Random Fields), for which a large number of models have been tried. The results of our experiments outline the advantages and drawbacks of these two methods. MOTS-CLES : descriptions de produits, extraction d'information, apprentissage automatique,
['Patrick Marty', 'Tian Tian', 'Isabelle Tellier']
Extraction de propriétés de produits