Abstract
The job of reviewing patents applications might be complicated because every day the quantity of it is greater and greater. Also, the amount of work dedicated to preparing a proper application might be complicated. The process needs several revisions from investors and examiners. This revision job might have costs for the inventor because they don’t know the proper mode for writing the application in the formal mode used. As part of a solution, one approach to minimize the impact of this fact and increase the success of the reviewing process is aid the human reviewer and also inventors with a set of patterns. The patterns are created using Natural Language Processing techniques and that accelerate the review just looking at the massive set of registration any similar application already patented. On the other hand aid the inventor in the process of writing an application in a formal manner.
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Acknowledgment
The research leading to these results has received funding from the european union’s seventh framework program (fp7/2007-2013) for crystal – critical system engineering acceleration joint undertaking under grant agreement n° 332830 and from specific national programs and/or funding authorities.
Also, the research leading to this paper has received funding from the AMASS project (H2020-ECSEL grant agreement no 692474; Spain’s MINECO ref. PCIN-2015-262).
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Fraga, A., Llorens, J., Parra, E., Moreno, V. (2019). Extraction of Patterns Using NLP: US and European Patents Domain. In: Fred, A., Dietz, J., Aveiro, D., Liu, K., Bernardino, J., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2016. Communications in Computer and Information Science, vol 914. Springer, Cham. https://doi.org/10.1007/978-3-319-99701-8_12
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