Update README.md
#3
by
HamidBekam
- opened
README.md
CHANGED
|
@@ -14,13 +14,16 @@ tags:
|
|
| 14 |
|
| 15 |
### Aalborg University Business School, AI: Growth-Lab
|
| 16 |
|
| 17 |
-
|
| 18 |
|
| 19 |
https://github.com/AI-Growth-Lab/PatentSBERTa
|
| 20 |
|
| 21 |
|
| 22 |
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
|
| 23 |
|
|
|
|
|
|
|
|
|
|
| 24 |
<!--- Describe your model here -->
|
| 25 |
|
| 26 |
## Usage (Sentence-Transformers)
|
|
|
|
| 14 |
|
| 15 |
### Aalborg University Business School, AI: Growth-Lab
|
| 16 |
|
| 17 |
+
|
| 18 |
|
| 19 |
https://github.com/AI-Growth-Lab/PatentSBERTa
|
| 20 |
|
| 21 |
|
| 22 |
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
|
| 23 |
|
| 24 |
+
## Citing & Authors
|
| 25 |
+
|
| 26 |
+
Bekamiri, H., Hain, D. S., & Jurowetzki, R. (2024). PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT. Technological Forecasting and Social Change, 206, 123536.
|
| 27 |
<!--- Describe your model here -->
|
| 28 |
|
| 29 |
## Usage (Sentence-Transformers)
|