Text Mining for Intellectual Property

Overview

Basically, patents are long stretches of complicated technical text; for computers, they are very difficult to analyse thoroughly.

Text Mining for Intellectual Property aims at providing a better means for modelling complex dependencies in patent texts and for searching patents using these dependencies.

The goal of this project was to generate linguistic resources for accurate dependency parsing of patent documents and to apply these resources in a new kind of search engine, which uses dependency triples as terms. The resulting system would allow for sophisticated searching of patents, using both thesaurus information and feedback from the index to achieve high precision and recall. 

 

Project Partners

Radboud University Nijmegen, NL