Dontopedia

Multi Word Expressions

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

Multi Word Expressions has 3 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

3 facts·2 predicates·3 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

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.

removesRemoves(1)

usedForUsed for(1)

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.

3 facts
PredicateValueRef
Rdf:typeLinguistic Concept[1]
Rdf:typeSynonym Type[3]
Handled byPhrase Matcher[2]

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.

typebeam/6f825f15-5c97-4244-84f2-e40ee078d6ae
ex:LinguisticConcept
handledBybeam/be9b20fb-2005-4df6-931a-91c20a70ac0d
ex:phrase-matcher
typebeam/80a16c0b-7043-48ab-aeb5-68a3a00737cb
ex:SynonymType

References (3)

3 references
  1. ctx:claims/beam/6f825f15-5c97-4244-84f2-e40ee078d6ae
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6f825f15-5c97-4244-84f2-e40ee078d6ae
      Show excerpt
      - **Contextual Relevance**: Consider using a context-aware approach to filter synonyms based on the context of the query. - **Dependency Parsing**: Use dependency parsing to better understand the relationships between words in the query. #
  2. ctx:claims/beam/be9b20fb-2005-4df6-931a-91c20a70ac0d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/be9b20fb-2005-4df6-931a-91c20a70ac0d
      Show excerpt
      [Turn 6903] Assistant: Integrating a query expansion module into your existing query pipeline while minimizing latency requires careful consideration of performance optimizations and efficient integration strategies. Here are some steps and
  3. ctx:claims/beam/80a16c0b-7043-48ab-aeb5-68a3a00737cb
    • full textbeam-chunk
      text/plain1012 Bdoc:beam/80a16c0b-7043-48ab-aeb5-68a3a00737cb
      Show excerpt
      expanded_query = ' '.join(expanded_query_parts) end_time = time.time() latency = end_time - start_time print(f"Expanded Query: {expanded_query}, Latency: {latency:.4f} seconds") return expanded_query # Test th

See also

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