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pro vyhledávání: '"Jurowetzki, Roman"'
In this paper, we present an efficient deep learning based approach to extract technology-related topics and keywords within scientific literature, and identify corresponding technologies within patent applications. Specifically, we utilize transform
Externí odkaz:
http://arxiv.org/abs/2205.10153
Patent data is an important source of knowledge for innovation research, while the technological similarity between pairs of patents is a key enabling indicator for patent analysis. Recently researchers have been using patent vector space models base
Externí odkaz:
http://arxiv.org/abs/2206.02690
Publikováno v:
In Technological Forecasting & Social Change September 2024 206
This study provides an efficient approach for using text data to calculate patent-to-patent (p2p) technological similarity, and presents a hybrid framework for leveraging the resulting p2p similarity for applications such as semantic search and autom
Externí odkaz:
http://arxiv.org/abs/2103.11933
The private sector is playing an increasingly important role in basic Artificial Intelligence (AI) R&D. This phenomenon, which is reflected in the perception of a brain drain of researchers from academia to industry, is raising concerns about a priva
Externí odkaz:
http://arxiv.org/abs/2102.01648
Autor:
Hain, Daniel, Jurowetzki, Roman
Recent years have seen a substantial development of quantitative methods, mostly led by the computer science community with the goal of developing better machine learning applications, mainly focused on predictive modeling. However, economic, managem
Externí odkaz:
http://arxiv.org/abs/2003.13441
This paper describes an efficiently scalable approach to measure technological similarity between patents by combining embedding techniques from natural language processing with nearest-neighbor approximation. Using this methodology we are able to co
Externí odkaz:
http://arxiv.org/abs/2003.12303
Publikováno v:
In Technological Forecasting & Social Change April 2022 177
Autor:
Hain, Daniel S1 (AUTHOR), Jurowetzki, Roman1 (AUTHOR) roman@business.aau.dk, Konda, Primoz1,2,3 (AUTHOR), Oehler, Lars2,3,4 (AUTHOR)
Publikováno v:
Industrial & Corporate Change. Oct2020, Vol. 29 Issue 5, p1233-1255. 23p. 2 Diagrams, 4 Charts, 5 Graphs.
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