The purpose of the present research is to design a method capable of automatically detecting and extracting one of the multiple entities hidden in patents: the users of the invention.

Patents contain a large quantity of information which is usually neglected. This information is hidden beneath technical and juridical jargon and therefore so many potential readers cannot take advantage of it. State of the art natural language processing tools and in particular named entity recognition tools, could be used to detect valuable concepts in patent documents.

Automatic users extraction from patents

Cimino Andrea;Dell'Orletta Felice
2018-01-01

Abstract

Patents contain a large quantity of information which is usually neglected. This information is hidden beneath technical and juridical jargon and therefore so many potential readers cannot take advantage of it. State of the art natural language processing tools and in particular named entity recognition tools, could be used to detect valuable concepts in patent documents.
2018
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
The purpose of the present research is to design a method capable of automatically detecting and extracting one of the multiple entities hidden in patents: the users of the invention.
Patent analysis
Deep learning
Text mining
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/392587
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