| citation | @data{3.BGRPMI_2024, author = {Ghosh, Mainak and Erhardt, Sebastian and Rose, Michael and Buunk, Erik and Harhoff, Dietmar}, publisher = {Edmond}, title = {{PaECTER embeddings for Patstat 2023 Fall (USPTO and EPO)}}, year = {2024}, version = {V1}, doi = {10.17617/3.BGRPMI}, url = {https://doi.org/10.17617/3.BGRPMI} } | |||||
|---|---|---|---|---|---|---|
| contributors |
|
|||||
| cost | none | |||||
| description | PaECTER embeddings at the Patstat family level (using one representative family member) based on Patstat Fall 2023 | |||||
| documentation | https://edmond.mpg.de/dataset.xhtml?persistentId=doi%3A10.17617%2F3.BGRPMI | |||||
| doi | 10.17617/3.BGRPMI | |||||
| last_edit | Wed, 18 Dec 2024 12:48:24 GMT | |||||
| location | https://edmond.mpg.de/dataset.xhtml?persistentId=doi%3A10.17617%2F3.BGRPMI | |||||
| maintained_by | erik.buunk@ip.mpg.de | |||||
| open_access | TRUE | |||||
| related_projects | ||||||
| related_publications | PaECTER: Patent-level Representation Learning using Citation-informed Transformers: https://arxiv.org/abs/2402.19411 | |||||
| shortname | paecter | |||||
| size | 24.4GB + 57.7GB | |||||
| tags |
|
|||||
| timeframe | until 2023-10 | |||||
| title | PaECTER embeddings for Patstat 2023 Fall (USPTO and EPO) | |||||
| uuid | 7272858a-dcf6-4ac7-bf64-3d2d46f23043 |