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Get Bert Similarity

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)

Get Bert Similarity has 9 facts recorded in Dontopedia across 2 references, with 2 live disagreements.

9 facts·5 predicates·2 sources·2 in dispute

Mostly:has parameter(2), accepts parameter(2), rdfs:label(2)

Maturity scale raw canonical shape-checked rule-derived certified

Has Parameterin disputehasParameter

Accepts Parameterin disputeacceptsParameter

Rdfs:labelrdfs:label

  • get_bert_similarity[2]all time · 255cb48f 250c 4d37 87ab Fa0c34c3ca48
  • get_bert_similarity[1]all time · F599e0ad Adea 4654 9206 60e269173330

Rdf:typerdf:type

  • Function[2]all time · 255cb48f 250c 4d37 87ab Fa0c34c3ca48
  • Function[1]all time · F599e0ad Adea 4654 9206 60e269173330

Intended UseintendedUse

Inbound 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.

definesFunctionDefines Function(1)

Timeline

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acceptsParameterbeam/f599e0ad-adea-4654-9206-60e269173330
ex:documents-parameter
acceptsParameterbeam/f599e0ad-adea-4654-9206-60e269173330
ex:query-parameter
hasParameterbeam/255cb48f-250c-4d37-87ab-fa0c34c3ca48
ex:documents-parameter
hasParameterbeam/255cb48f-250c-4d37-87ab-fa0c34c3ca48
ex:query-parameter
intendedUsebeam/255cb48f-250c-4d37-87ab-fa0c34c3ca48
ex:semantic-similarity
labelbeam/255cb48f-250c-4d37-87ab-fa0c34c3ca48
get_bert_similarity
labelbeam/f599e0ad-adea-4654-9206-60e269173330
get_bert_similarity
typebeam/255cb48f-250c-4d37-87ab-fa0c34c3ca48
ex:Function
typebeam/f599e0ad-adea-4654-9206-60e269173330
ex:Function

References (2)

2 references
  1. [1]beam-chunk4 facts
    customctx:claims/beam/f599e0ad-adea-4654-9206-60e269173330
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f599e0ad-adea-4654-9206-60e269173330
      Show 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)
  2. customctx:claims/beam/255cb48f-250c-4d37-87ab-fa0c34c3ca48

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