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Compute Bm25 Scores

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Compute Bm25 Scores has 2 facts recorded in Dontopedia across 1 reference.

2 facts·2 predicates·1 sources
Maturity scale raw canonical shape-checked rule-derived certified

Requiresrequires

Usesuses

  • Bm25[1]sourceall time · 9669963d F7d7 452d A9ec 0cf09ed6be1d

Inbound 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.

requiredByRequired by(1)

subStepSub Step(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.

2 undated
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requiresbeam/9669963d-f7d7-452d-a9ec-0cf09ed6be1d
ex:preprocessed-documents
—
usesbeam/9669963d-f7d7-452d-a9ec-0cf09ed6be1d
ex:bm25

References (1)

1 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/9669963d-f7d7-452d-a9ec-0cf09ed6be1d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/9669963d-f7d7-452d-a9ec-0cf09ed6be1d
      Show excerpt
      predictions.append(predicted_label) return predictions # Make predictions predictions = predict_labels(test_df, bm25, train_df) # Calculate the recall score recall = recall_score(test_df['label'], predictions, average='binary'…

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