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For the pipeline we want to be able to compare the phonetic word with the English translation of the foreign word.
- https://huggingface.co/keras-io/bert-semantic-similarity
- https://huggingface.…
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A very common thing users might want to do is to compute the semantic similarity between nodes in a graph and then store that data back in the edges of the graph (to use as edge weights later).
I'v…
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# Semantic Textual Similarity
## Task Objective
Evaluate the semantic understanding level of the models by comparing with the human-labeled sentence similarity. The task is part of the metatask http…
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Testing #23984
Searching for `create venv` should match `Python: Create Environment` here
![image](https://github.com/user-attachments/assets/01005693-93ef-4b03-a308-33dae4dd58d6)
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Dear GPTCache Team,
we are a security research group. We've used GPTCache for a while and impressed by its design and speed, but as we studied further, more concerns about the security of GPTCache ha…
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Hello,
I have a problem, I have 1000's of sentences. I want to determine which of these 1000 sentences a sentence newly entered by the system is closest to. But I don't want it to analyze 1000 senten…
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We have a full semantic network with the CLICS data, that covers all concepts that are linked to Concepticon. But the problem with semantic similarity here is that it is not always clear how to interp…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I already understand the principle of GraphRAG Implementation, but there is a method in …
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### Issue description
Somewhat a generalization of https://github.com/biocypher/biochatter/issues/204
Either a permutation of user query or a semantic search approach is necessary to avoid false ne…