id: 05821114
dt: a
an: 05821114
au: Lopez, Patrice; Romary, Laurent
ti: PATATRAS: Retrieval model combination and regression models for prior art
    search.
so: Peters, Carol (ed.) et al., Multilingual information access evaluation I.
    Text retrieval experiments. 10th workshop of the cross-language
    evaluation forum, CLEF 2009, Corfu, Greece, September 30 ‒ October 2,
    2009. Revised selected papers. Berlin: Springer (ISBN
    978-3-642-15753-0/pbk). Lecture Notes in Computer Science 6241, 430-437
    (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-15754-7_51
ab: Summary: This paper presents PATATRAS (PATent and Article Tracking,
    Retrieval and AnalysiS), a system realized at the Humboldt University
    for the IP track of CLEF 2009. Our approach presents three main
    characteristics: 1 The usage of multiple retrieval models and term
    index definitions for the three languages considered in the present
    track producing ten different sets of ranked results. 1 The merging of
    the different results based on multiple regression models using an
    additional training set created from the patent collection. 1 The
    exploitation of patent metadata and the citation structures for
    creating restricted initial working sets of patents and for producing a
    final re-ranking regression model. The resulting architecture allowed
    us to exploit efficiently specific information of patent documents
    while remaining generic and easy to extend.
rv: