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Get Synonyms has 100 facts recorded in Dontopedia across 14 references, with 13 live disagreements.
Mostly:returns(10), has parameter(10), rdf:type(8)
hasParameterrdf:typeusesLibraryusesiteratesOverinitializesVariabletakesArgumentisMethodOfiterationVariableperformsinvokesOther 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.
hasMethodHas Method(7)ex:moduleex:NLPContextAwareSynonymLookupModuleex:synonym-lookup-moduleex:synonym_lookup_moduleex:thesaurusex:thesaurus-classSynonymLookupModulecallsFunctionCalls Function(5)ex:code-snippet-1ex:example-1ex:example-2ex:expand_synonymsex:expand_synonymsdescribesDescribes(2)ex:comment_function_synonymsex:explanation-sectionappliesToApplies to(1)ex:constant-time-complexitycalledByCalled by(1)ex:get_contextual_embeddingscalledFromCalled From(1)ex:get_contextual_embeddingscallsCalls(1)ex:print-statementcallsMethodCalls Method(1)ex:ExampleUsagecontainsFunctionContains Function(1)ex:code-blockhas-methodHas Method(1)ex:SynonymLookupModule-classhasStepHas Step(1)ex:workflowinverseOfInverse of(1)ex:add_synonymmethodCalledMethod Called(1)ex:geography-context-handlingprecedesPrecedes(1)ex:train_modelreturnedByReturned by(1)ex:closest_synonymsThe 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.
| Predicate | Value | Ref |
|---|---|---|
| Takes Parameter | Context | [13] |
| Takes Parameter | Self | [13] |
| Takes Parameter | Term | [13] |
| Rdfs:label | get_synonyms | [8] |
| Rdfs:label | get_synonyms | [2] |
| Rdfs:label | get_synonyms | [3] |
| Rdfs:label | get_synonyms | [10] |
| Rdfs:label | get_synonyms | [7] |
| Returns Type | list | [1] |
| Returns Type | list | [7] |
| Synonym Collection | collects from multiple synsets | [1] |
| Duplicate Prevention | uses set to collect synonyms | [1] |
| Uses Wordnet Library | wordnet | [1] |
| Converts Set to List | synonyms | [1] |
| Nested Iteration | syn.lemmas within wordnet.synsets | [1] |
| Returns Converted Set | list(synonyms) | [1] |
| Adds to Set | lemma.name() | [1] |
| Calls Method | syn.lemmas | [1] |
| Parameter Pos Used in | wordnet.synsets | [1] |
| Calls Function | wordnet.synsets | [1] |
| Uses Variable | synonyms | [1] |
| Parameter Default | None | [1] |
| Part of Pipeline | Text Analysis Pipeline | [9] |
| Operation | Set Addition | [9] |
| Called Within Loop | Expand Synonyms | [4] |
| Optimization Strategy | Redis Caching | [3] |
| Called From | Unknown Caller | [3] |
| Algorithm Type | Vector Space Model | [2] |
| Algorithm | Embedding Similarity | [2] |
| Defined by | Function Signature | [2] |
| Returns on Cache Miss | Dictionary Synonyms | [5] |
| Returns on Cache Hit | Cached Synonyms | [5] |
| Checks Cache First | true | [5] |
| Returns Empty List When No Match | true | [6] |
| Handles Missing Term | Empty List | [6] |
| Handles Missing Context | Empty Dict | [6] |
| Operation Type | Query Operation | [11] |
| Queries State | Synonyms Dictionary | [11] |
| Provides Default Value | Empty List | [11] |
| Returns on Success | List of Synonyms | [13] |
| Thread Safe | True | [14] |
| Returns on Empty | Empty List | [14] |
| Has Return Type | List | [8] |
| Parameter | term | [8] |
| Is Complemented by | Add Synonym | [10] |
| Returns Default | empty list | [7] |
| Uses Lock | Lock | [7] |
| Returns on Exception | None Return Value | [7] |
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.
doc:beam/8639bcf3-c63f-4843-8792-20826d145b6belif treebank_tag.startswith('R'): return wordnet.ADV else: return None def get_synonyms(word, pos=None): """Returns synonyms for a given word.""" synonyms = set() for syn in wordnet.synsets(word, pos=po…
doc:beam/f0cc860e-7f75-4530-abef-84dc82b5e5adterm_embedding = get_contextual_embeddings(term) closest_synonyms = [] for word, synonyms in thesaurus.items(): word_embedding = get_contextual_embeddings(word) similarities = [np.dot(term_embedding, get_context…
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)…
doc:beam/028a6fc6-cd01-4cd2-b721-375cd468d51fthesaurus.add_synonym("sad", "unhappy") thesaurus.add_synonym("sad", "depressed") # Test the lookup start_time = time.time() synonyms = thesaurus.get_synonyms("happy") end_time = time.time() print(f"Lookup took {end_time - start_time} seco…
doc:beam/b6ba1972-509e-4f89-925f-f3864128a5abprint(module.get_synonyms('bank', 'geography')) # Output: ['river bank'] ``` ### 4. Machine Learning Models Train machine learning models to predict the most appropriate synonym based on the context of the query. #### Example Implementa…
doc:beam/e60930c1-ae25-46e0-bc17-2bfeab5ff0133. **Caching**: Use a caching layer to reduce the load on the underlying data store. 4. **Load Balancing**: Distribute the load across multiple instances of the module. 5. **Fault Tolerance**: Implement retry mechanisms and fallback strateg…
doc:beam/e78bbd6a-ed24-4f94-8f02-ea068e0781ecprint(module.get_synonyms('hello')) # Output: [] ``` ### Explanation 1. **Thread Safety**: - Use a `threading.Lock` to ensure thread-safe access to the `synonyms` dictionary. - The `with self.lock:` context manager ensures that onl…
doc:beam/a46aa56d-4915-4a1d-a174-4e8f9a8c16b7[Turn 10116] User: hmm, how do I handle synonyms that have multiple meanings in different contexts? [Turn 10117] Assistant: Handling synonyms that have multiple meanings in different contexts can be challenging, but there are several strat…
doc:beam/937a8cd3-e603-49e5-bf5a-f2c755722d48synonym_embedding = synonym_outputs.last_hidden_state[0][0] # [CLS] token embedding similarity = torch.dot(word_embedding, synonym_embedding).item() if similarity > best_similarity: best_similar…
doc:beam/f5148003-eca5-4ad6-bc61-92f43dca88e62. **Efficient Data Structures**: Use a more efficient data structure like a `defaultdict` to handle multiple synonyms. 3. **Integration with Elasticsearch**: Ensure that the rewritten queries are indexed correctly. ### Updated Code Here'…
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