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@@ -15,7 +15,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentence
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  The model is based on BERT-large-uncased, further trained using the TSDAE technique described [here](https://sbert.net/examples/unsupervised_learning/TSDAE/README.html) on a corpus of open access philosophy from [PhilArchive.org](https://philarchive.org).
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- The aim was to make an embedding model that can correctly captures semantic similarity between sentences that use philosophical jargon. The aim was partly achieved. In our informal benchmarks, it performs better than Ada3-large. However, it is still far from perfect and we hope to release an improved model soon.
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  ## Usage (Sentence-Transformers)
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  The model is based on BERT-large-uncased, further trained using the TSDAE technique described [here](https://sbert.net/examples/unsupervised_learning/TSDAE/README.html) on a corpus of open access philosophy from [PhilArchive.org](https://philarchive.org).
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+ The aim was to make an embedding model that can correctly capture semantic similarity between sentences that use philosophical jargon. The aim was partly achieved. In our informal benchmarks, it performs better than Ada3-large. However, it is still far from perfect and we hope to release an improved model soon.
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  ## Usage (Sentence-Transformers)
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