Artificial Intelligence - Special volume on qualitative reasoning about physical systems
A model of function-based representations
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Improvements in automatic thesaurus extraction
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
Deterministic dependency parsing of English text
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A review of function modeling: Approaches and applications
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Ontology learning from Italian legal texts
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
Ambiguous part-of-speech tagging for improving accuracy and domain portability of syntactic parsers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Illustrating how mechanical assemblies work
ACM SIGGRAPH 2010 papers
Using patent data for technology forecasting: China RFID patent analysis
Advanced Engineering Informatics
A patent quality analysis for innovative technology and product development
Advanced Engineering Informatics
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Patents contain a large quantity of technical information not available elsewhere and therefore very interesting for both academia and industry. The purpose of the research is to try to detect and extract information about the functions, the physical behaviours and the states of the system directly from the text of a patent in an automatic way. The above three categories constitute a well-known set of relevant entities in the theory of engineering design, and their study allows powerful analysis of individual artefacts as well as that of groups of products or technologies. The focus is in providing a handy tool that could speed up and facilitate human analysis and allow tackling also large corpora of documents. A second goal is to develop a protocol based on free software and database resources, so that it could be replicable with limited effort by everyone without having to rely on commercial databases. Extracting technical and design information from a document whose aim is more legal than technical, and that is written using a specific jargon, is not a trivial task. The approach chosen to overcome the various issues is to support state-of-the-art Computational Linguistic tools with a large Knowledge Base. The latter has been constructed both manually and automatically and comprises not only keywords but also concepts, relationships and regular expressions. A case study about a very recent patent describing a mechanical device has been included to show the functioning and output of the entire system.