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Stop Words

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Stop Words has 8 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

8 facts·5 predicates·3 sources·2 in dispute

Mostly:rdf:type(3), origin(2), defined in snippet(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Originin disputeorigin

  • Spacy English Pipeline[2]all time · 75da3500 669d 461a 9314 C433678ef083
  • spacy.lang.en.stop_words[3]all time · D6381f28 5a05 49b1 Adbd 7c11f04acc5e

Defined in SnippetdefinedInSnippet

  • false[1]all time · Edca9501 Cce9 465a 87b1 Ca97ba8c21a7

Purposepurpose

  • Filtering[1]all time · Edca9501 Cce9 465a 87b1 Ca97ba8c21a7

Rdfs:labelrdfs:label

  • STOP_WORDS[2]sourceall time · 75da3500 669d 461a 9314 C433678ef083

Inbound mentions (3)

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.

exclusionSetExclusion Set(1)

importsImports(1)

referenceReference(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.

definedInSnippetbeam/edca9501-cce9-465a-87b1-ca97ba8c21a7
false
originbeam/75da3500-669d-461a-9314-c433678ef083
ex:spacy-english-pipeline
originbeam/d6381f28-5a05-49b1-adbd-7c11f04acc5e
spacy.lang.en.stop_words
purposebeam/edca9501-cce9-465a-87b1-ca97ba8c21a7
ex:filtering
labelbeam/75da3500-669d-461a-9314-c433678ef083
STOP_WORDS
typebeam/edca9501-cce9-465a-87b1-ca97ba8c21a7
ex:Collection
typebeam/d6381f28-5a05-49b1-adbd-7c11f04acc5e
ex:StopWordCollection
typebeam/75da3500-669d-461a-9314-c433678ef083
ex:StopWordsCollection

References (3)

3 references
  1. customctx:claims/beam/edca9501-cce9-465a-87b1-ca97ba8c21a7
  2. [2]beam-chunk3 facts
    customctx:claims/beam/75da3500-669d-461a-9314-c433678ef083
    • full textbeam-chunk
      text/plain1 KBdoc:beam/75da3500-669d-461a-9314-c433678ef083
      Show excerpt
      nlp = spacy.load('en_core_web_sm') def process_query(query): doc = nlp(query) # Tokenization and Lemmatization tokens = [token.lemma_.lower() for token in doc if token.is_alpha and token.lemma_.lower() not in STOP_WORDS]
  3. customctx:claims/beam/d6381f28-5a05-49b1-adbd-7c11f04acc5e

See also

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