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Conference Papers Year : 2008

UJM at INEX 2007: Document Model Integrating XML Tags

Christine Largeron
Franck Thollard
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Different approaches have been used to represent textual documents, based on boolean model, vector space model or probabilistic models. In text min- ing as in information retrieval (IR), these models have shown good results about textual documents modeling. They nevertheless do not take into account docu- ments structure. In many applications however, documents are inherently struc- tured (e.g. XML documents). In this article1 , we propose an extended probabilistic representation of docu- ments in order to take into account a certain kind of structural information: logical tags that represent the different parts of the document and formatting tags used to emphasized text. Our approach includes a learning step that estimates the weight of each tag. This weight is related to the probability for a given tag to distinguish the relevant terms.

Dates and versions

ujm-00331746 , version 1 (17-10-2008)



Mathias Géry, Christine Largeron, Franck Thollard. UJM at INEX 2007: Document Model Integrating XML Tags. INEX, Dec 2007, Germany. pp.103-114, ⟨10.1007/978-3-540-85902-4⟩. ⟨ujm-00331746⟩
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