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@@ -84,3 +84,15 @@ As you can see below, this library is very fast, even on CPU:
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| QASPER - Abstract | 416 | 5.9 | 0.2
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I think that most of the time is spent tokenizing long documents. It could likely be sped up with a faster tokenizer and/or multiprocessing.
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### Citation
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```
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@misc{morris2024bm25pt,
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author = {Morris, John X},
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title = {bm25-pt: A minimal implementation of Okapi BM25 using PyTorch},
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url = {https://github.com/jxmorris12/bm25-pt},
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year = {2024}
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}
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```

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