Does Patent IR Profit from Linguistics or Maximum Query Length

Daniela Becks, Maximilian Eibl, Julia J. Jürgens, Jens Kürsten, Thomas E. Wilhelm, Christa Womser‐Hacker · 2011

In 2011, the University of Hildesheim and Chemnitz University of Technology participated together in the CLEF Intellectual Property Track. We focused on the prior art candidate search, which was already provided for the third time. Our group submitted seven runs ranging from simple bag of words to linguistic phrases. The aim of our experiments was to examine the effectiveness of different query strategies. Especially, we wanted to evaluate the advantage of linguistic phrases in contrast to very long bag of words queries. Phrases were extracted using a special extraction component, which has been developed by the University of Hildesheim.

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