Deep learning for patent landscaping using transformer and graph embedding
Seokkyu Choi, Hyeonju Lee, Eunjeong Park, Sungchul Choi
| Year of publication: |
2022
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| Authors: | Choi, Seokkyu ; Lee, Hyeonju ; Park, Eunjeong ; Choi, Sungchul |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 175.2022, p. 1-12
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| Subject: | Deep learning | Graph embedding | Patent classification | Patent landscaping | Transformer | Patent | Patentrecht | Patent law | Graphentheorie | Graph theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2021.121413 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013334985