Doc Embeddings
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Doc Embeddings has 3 facts recorded in Dontopedia across 1 reference.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
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.
calledWithCalled With(1)
- Cosine Similarity Function
ex:cosine-similarity-function
Other facts (3)
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 |
|---|---|---|
| Computed From | Last Hidden State | [1] |
| Represents | Document Vector | [1] |
| Derived From | Doc Outputs | [1] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (1)
ctx:claims/beam/07b00e3a-dd0e-40bb-a9be-bbdf1ac254da- full textbeam-chunktext/plain1 KB
doc:beam/07b00e3a-dd0e-40bb-a9be-bbdf1ac254daShow excerpt
with torch.no_grad(): doc_outputs = model(**doc_inputs) query_outputs = model(**query_inputs) doc_embeddings = doc_outputs.last_hidden_state.mean(dim=1) query_embedding = query_outputs.last_hidden_state.mean(dim…
See also
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