Bert Similarity Code
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)
Bert Similarity Code has 13 facts recorded in Dontopedia across 1 reference, with 3 live disagreements.
Mostly:computes(3), returns(2), demonstrates(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
computedByComputed by(1)
- Cosine Similarity
ex:cosine-similarity
producedByProduced by(1)
- Argsort Descending Indices
ex:argsort-descending-indices
Other facts (13)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Computes | Bert Embedding Mean | [1] |
| Computes | Document Embedding Mean | [1] |
| Computes | Cosine Similarity | [1] |
| Returns | Argsort Descending Indices | [1] |
| Returns | Sorted Document Indices | [1] |
| Demonstrates | Embedding Comparison Technique | [1] |
| Demonstrates | Mean Pooling Technique | [1] |
| Rdf:type | Code Snippet | [1] |
| Uses | Torch Nn Functional | [1] |
| Defines Function | Get Bert Similarity | [1] |
| Implements | Semantic Search Algorithm | [1] |
| Uses Library | Pytorch Library | [1] |
| Has Comment | Example Usage Comment | [1] |
Timeline
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References (1)
ctx:claims/beam/f599e0ad-adea-4654-9206-60e269173330- full textbeam-chunktext/plain1 KB
doc:beam/f599e0ad-adea-4654-9206-60e269173330Show excerpt
query_embedding = query_output.last_hidden_state.mean(dim=1) document_embeddings = document_output.last_hidden_state.mean(dim=1) similarities = torch.nn.functional.cosine_similarity(query_embedding, document_embeddings, dim=-1)…
See also
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