| language: | |
| - sci | |
| - en | |
| - multilingual | |
| license: mit | |
| tags: | |
| - classification | |
| - similarity | |
| datasets: | |
| - acl-arc | |
| # Aspect-based Document Similarity for Research Papers | |
| A `scibert-scivocab-uncased` model fine-tuned on the ACL Anthology corpus as in [Aspect-based Document Similarity for Research Papers](https://arxiv.org/abs/2010.06395). | |
| <img src="https://raw.githubusercontent.com/malteos/aspect-document-similarity/master/docrel.png"> | |
| See GitHub for more details: https://github.com/malteos/aspect-document-similarity | |
| ## Demo | |
| <a href="https://colab.research.google.com/github/malteos/aspect-document-similarity/blob/master/demo.ipynb"><img src="https://camo.githubusercontent.com/52feade06f2fecbf006889a904d221e6a730c194/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667" alt="Google Colab"></a> | |
| You can try our trained models directly on Google Colab on all papers available on Semantic Scholar (via DOI, ArXiv ID, ACL ID, PubMed ID): | |
| <a href="https://colab.research.google.com/github/malteos/aspect-document-similarity/blob/master/demo.ipynb"><img src="https://raw.githubusercontent.com/malteos/aspect-document-similarity/master/demo.gif" alt="Click here for demo"></a> | |