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--- |
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language: |
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- sci |
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- en |
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tags: |
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- classification |
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- similarity |
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license: mit |
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datasets: |
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- acl-arc |
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--- |
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# Aspect-based Document Similarity for Research Papers |
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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). |
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<img src="https://raw.githubusercontent.com/malteos/aspect-document-similarity/master/docrel.png"> |
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See GitHub for more details: https://github.com/malteos/aspect-document-similarity |
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## Demo |
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<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> |
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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): |
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<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> |
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