From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Word Net has 14 facts recorded in Dontopedia across 4 references, with 2 live disagreements.
Mostly:rdf:type(3), provides(2), is type of(1)
isTypeOfhasInstanceservesAsExampleForisExampleOfhasPropertyorganizesWordsIntousedByOther 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.
usesLibraryUses Library(2)ex:expand_queryex:SynonymExpansiondemonstratesDemonstrates(1)ex:WordNet-implementationdemonstratesUsageOfDemonstrates Usage of(1)ex:WordNet-implementationhasSubtypeHas Subtype(1)ex:lexical-databaseisObtainedFromIs Obtained From(1)synonymsprovidesExampleForProvides Example for(1)ex:assistantrecommendsToolRecommends Tool(1)ex:comprehensive-thesaurus-approachusesUses(1)ex:hybrid-approachusesToolUses Tool(1)ex:synonym-expansionTimeline 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.
doc:beam/0080335e-5217-4745-8e22-4822685c6012``` I'm looking for ways to improve the accuracy of the expansion algorithm. Can someone help me with some suggestions? ->-> 2,20 [Turn 10147] Assistant: To improve the accuracy of your synonym expansion algorithm, you can consider several…
doc:beam/30196b02-e710-4de9-807e-b72cfda7e001# Extract synonyms for each token synonyms = [] for token in tokens: # Use WordNet to get synonyms synsets = nltk.corpus.wordnet.synsets(token) for synset in synsets: for lemma in synset.lemma…
doc:beam/eba347b2-a24e-4b7a-ab9b-f7cd8535ecceTo improve query rewriting accuracy, you can integrate synonym expansion using spaCy and a thesaurus like WordNet. ```python from nltk.corpus import wordnet def get_synonyms(word): synonyms = set() for syn in wordnet.synsets(word)…
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