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I am running out of memory on Tesla T4. I have 4 of them though and I usually use accelerator for multigpu setup. How can I use them for angle semantic similarity?
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By default, the subsumer matrix contains _all_ subsumers, and thus the semantic similarity metrics computed with it uses the entire superclass hierarchy.
For phenotype dependency and mutual exclusi…
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when trying to run _pipeline_27112016_, I get an ImportError. Apparently, the module semantic_similarity_functions is missing. I can't find it in any package either.
Here's the traceback when I cal…
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Set up `cache_activations`' `measure_refusals` argument to be able to find a distribution of tokens between the positive and negative and find the tokens that are most likely to appear where.
I thi…
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## ❓ Questions and Help
**Description**
i have a question when i tring to use torchtext in train DSSM (an sts model).
I don't know how to construct the data.
we have 2 lists (query list and …
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Hello, Could you share configurations to run your project? And also, would you mind to share Dataset Preparation folder and Results.csv file, or tell where can I find it on web?
Im talking about th…
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Trying this approach I observe that the cls representations seem to collapse after time where semantic similarity is no better than random - did you observe when using MLM + BoW only (no AE or AR task…
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We want to alert users to the existence of doubles in the dataset:
- Add field to list view of manuscripts to signal existence of doubles (can be just a column with header 'Suspected doubles' and t…
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Run this:
```
from sematch.semantic.similarity import WordNetSimilarity
wns = WordNetSimilarity()
print(wns.word_similarity('dog', 'cat', 'li'))
```
It returned errors:
```
Traceback (most r…
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There is currently no way to exclude specific ontologyTerms in filter queries although this would be desirable to expand query options (especially regarding the limitation of not having Booleans) and …