Language technologies and patent search and classification

Hull, David A.; Aı̈t-Mokhtar, Salah; Chuat, Mathieu; Eisele, Andreas; Gaussier, Éric; Grefenstette, Gregory; Isabelle, Pierre; Samuelsson, Christer; Segond, Frédérique

doi:10.1016/s0172-2190(01)00024-2

Cited by 25 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, patents are currently a relatively opaque and under-exploited resource for scientific exploitation. On the one hand a globally significant amount of research work is encapsulated in patent documents (and in many cases these documents are the only source of publication, due to commercial confidentialty constraints [74]), on the other hand access to and analysis of the patent record is typically problematic and partial [75]. The exposure of quantitative biomedical data derived from patents of the type discussed below is one way to ameliorate this concern.…”

Section: Resultsmentioning

confidence: 99%

Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics

et al. 2013

View full text Add to dashboard Cite

This software article describes the GATE family of open source text analysis tools and processes. GATE is one of the most widely used systems of its type with yearly download rates of tens of thousands and many active users in both academic and industrial contexts. In this paper we report three examples of GATE-based systems operating in the life sciences and in medicine. First, in genome-wide association studies which have contributed to discovery of a head and neck cancer mutation association. Second, medical records analysis which has significantly increased the statistical power of treatment/outcome models in the UK's largest psychiatric patient cohort. Third, richer constructs in drug-related searching. We also explore the ways in which the GATE family supports the various stages of the lifecycle present in our examples. We conclude that the deployment of text mining for document abstraction or rich search and navigation is best thought of as a process, and that with the right computational tools and data collection strategies this process can be made defined and repeatable. The GATE research programme is now 20 years old and has grown from its roots as a specialist development tool for text processing to become a rather comprehensive ecosystem, bringing together software developers, language engineers and research staff from diverse fields. GATE now has a strong claim to cover a uniquely wide range of the lifecycle of text analysis systems. It forms a focal point for the integration and reuse of advances that have been made by many people (the majority outside of the authors' own group) who work in text processing for biomedicine and other areas. GATE is available online <1> under GNU open source licences and runs on all major operating systems. Support is available from an active user and developer community and also on a commercial basis.

show abstract

Section: Resultsmentioning

confidence: 99%

Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics

et al. 2013

View full text Add to dashboard Cite

show abstract

“…content features are often considered good indicators of document subjects, which can be extracted at the word level (i.e., "bag-of-words") or phrase level from different parts of the documents. In patent classification, previous studies examined the features extracted from patent title [32], abstract [14,32,35], claims [23], and full-text [29]. Features from patent title and abstract have been found to be more effective in patent classification.…”

Section: Classification Of Linked Documentsmentioning

confidence: 99%

Managing Knowledge in Light of Its Evolution Process: An Empirical Study on Citation Network-Based Patent Classification

Chen

Zhang

et al. 2009

Journal of Management Information Systems

View full text Add to dashboard Cite

“…The first process of this type, which was patented by C. W. Hull in 1986, was stereolithography for the production of three-dimensional models from plastics. [11] However, it has become increasingly desireable to use these objects not only for design studies, but also for direct testing of the function and properties of the components. This has resulted in the development of tool-free processes, which not only allow the generative design of plastics, waxes, or paper, but also enable direct fabrication of functional models from metals or ceramics.…”

Section: Generative Processesmentioning

confidence: 99%

Manufacturing of Ceramic Microcomponents by a Rapid Prototyping Process Chain

Knitter¹,

Bauer

Göhring

et al. 2001

Adv. Eng. Mater.

View full text Add to dashboard Cite

Time‐intensive and cost‐consuming manufacturing of new ceramic components may be improved significantly by the use of rapid prototyping processes especially in the development of miniaturized or micropatterned components. Their molding is generally very expensive and finishing is difficult to the point of impossibility. Most known generative ceramic molding processes do not provide a sufficient resolution for the fabrication of microstructured components. In contrast to this, a rapid prototyping process chain that combines micro‐stereolithography and low‐pressure injection molding, for example, allows the rapid manufacturing of ceramic microcomponents from functional models to preliminary or small‐lot series.

show abstract

Language technologies and patent search and classification

Cited by 25 publications

References 3 publications

Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics

Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics

Managing Knowledge in Light of Its Evolution Process: An Empirical Study on Citation Network-Based Patent Classification

Manufacturing of Ceramic Microcomponents by a Rapid Prototyping Process Chain

Contact Info

Product

Resources

About