tokenize sentences

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tokenize sentences is Tokenize the sentences in parallel.

47 facts·34 predicates·3 sources·8 in dispute

Mostly:rdf:type(3), returns(2), has parameter(2)

Inbound mentions (7)

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.

`calledBy`Called by(2)

Tokenize Sentenceex:tokenize-sentence
Tokenize Sentenceex:tokenize-sentence

`contains`Contains(1)

Code Sectionex:code-section

`containsFunction`Contains Function(1)

Code Sectionex:code-section

`follows`Follows(1)

Testex:test

`storesResultsOf`Stores Results of(1)

Cacheex:cache

`usedFor`Used for(1)

Bert Tokenizerex:bert-tokenizer

Other facts (44)

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.

44 facts

Predicate	Value	Ref
Rdf:type	Operation	[1]
Rdf:type	Function	[2]
Rdf:type	Function	[3]
Returns	Tokens	[2]
Returns	tokens	[3]
Has Parameter	N Jobs	[2]
Has Parameter	sentences	[3]
Uses Generator Expression	true	[2]
Uses Generator Expression	true	[3]
Iteration Variable	sentence	[2]
Iteration Variable	Sentence	[2]
Has Comment	Define the function to tokenize a list of sentences	[2]
Has Comment	Tokenize the sentences in parallel	[2]
Decorated by	Cache.cache	[2]
Decorated by	Cache.cache	[3]
Calls	Parallel	[3]
Calls	Delayed	[3]
Invokes	Parallel	[3]
Invokes	Delayed	[3]
Has Decorator	Cache	[2]
Parameter Name	sentences	[2]
Description	Tokenize the sentences in parallel	[2]
Called Function	Tokenize Sentence	[2]
Uses Execution Mode	Parallel	[2]
Uses Function	Delayed	[2]
Instantiates	Parallel	[2]
Passes Parameter	N Jobs	[2]
Has Return Type	Tokens	[2]
Parameter Type	list	[2]
Return Type	list	[2]
Iteration Over	Sentences	[2]
Uses	Generator Expression	[2]
Implemented in	Python	[2]
Passes to	Parallel	[2]
Is Annotated With	Cache.cache	[3]
Located in	Script	[3]
Parallelizes	Tokenize Sentence	[3]
Caches Results	Joblib.memory	[3]
Creates Variable	Tokens	[3]
Called by	Script	[3]
Generator Expression Iterates	Sentences	[3]
Designed for	batch-tokenization-with-caching	[3]
Assigns	Tokens	[3]
Uses List Comprehension	true	[3]

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.

47 undated

—

typebeam/b6b0b011-2ea9-48ce-a85b-83edabc260d3

ex:Operation

—

labelbeam/b6b0b011-2ea9-48ce-a85b-83edabc260d3

tokenize sentences

—

typebeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:Function

—

labelbeam/df513ed5-3117-470a-8fde-59edabe3d24c

tokenize_sentences

—

hasDecoratorbeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:cache

—

parameterNamebeam/df513ed5-3117-470a-8fde-59edabe3d24c

sentences

—

returnsbeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:tokens

—

descriptionbeam/df513ed5-3117-470a-8fde-59edabe3d24c

Tokenize the sentences in parallel

—

calledFunctionbeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:tokenize-sentence

—

usesExecutionModebeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:parallel

—

hasParameterbeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:n-jobs

—

usesFunctionbeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:delayed

—

instantiatesbeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:Parallel

—

passesParameterbeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:n_jobs

—

usesGeneratorExpressionbeam/df513ed5-3117-470a-8fde-59edabe3d24c

true

—

hasReturnTypebeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:tokens

—

parameterTypebeam/df513ed5-3117-470a-8fde-59edabe3d24c

list

—

returnTypebeam/df513ed5-3117-470a-8fde-59edabe3d24c

list

—

iterationVariablebeam/df513ed5-3117-470a-8fde-59edabe3d24c

sentence

—

iterationOverbeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:sentences

—

hasCommentbeam/df513ed5-3117-470a-8fde-59edabe3d24c

Define the function to tokenize a list of sentences

—

hasCommentbeam/df513ed5-3117-470a-8fde-59edabe3d24c

Tokenize the sentences in parallel

—

decoratedBybeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:cache.cache

—

usesbeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:generator-expression

—

iterationVariablebeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:sentence

—

implementedInbeam/df513ed5-3117-470a-8fde-59edabe3d24c

Python

—

passesTobeam/df513ed5-3117-470a-8fde-59edabe3d24c

ex:Parallel

—

typebeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:Function

—

hasParameterbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

sentences

—

returnsbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

tokens

—

isAnnotatedWithbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:cache.cache

—

callsbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:Parallel

—

callsbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:delayed

—

locatedInbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:script

—

decoratedBybeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:cache.cache

—

parallelizesbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:tokenize-sentence

—

cachesResultsbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:joblib.Memory

—

createsVariablebeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:tokens

—

calledBybeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:script

—

usesGeneratorExpressionbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

true

—

generatorExpressionIteratesbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:sentences

—

labelbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

tokenize_sentences

—

designedForbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

batch-tokenization-with-caching

—

invokesbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:Parallel

—

invokesbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:delayed

—

assignsbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

ex:tokens

—

usesListComprehensionbeam/f0c23d4a-85c3-41c0-a71b-176d529036d3

true

References (3)

3 references

[1]B6b0b011 2ea9 48ce A85b 83edabc260d32 facts
ctx:claims/beam/b6b0b011-2ea9-48ce-a85b-83edabc260d3
- full textbeam-chunk
  text/plain1 KBdoc:beam/b6b0b011-2ea9-48ce-a85b-83edabc260d3
  Show excerpt
  disambiguated_terms.append(closest_match) else: disambiguated_terms.append(term) # Join the disambiguated terms back into a single string disambiguated_query = " ".join(disambiguated…
[2]Df513ed5 3117 470a 8fde 59edabe3d24c25 facts
ctx:claims/beam/df513ed5-3117-470a-8fde-59edabe3d24c
[3]F0c23d4a 85c3 41c0 A71b 176d529036d320 facts
ctx:claims/beam/f0c23d4a-85c3-41c0-a71b-176d529036d3
- full textbeam-chunk
  text/plain1 KBdoc:beam/f0c23d4a-85c3-41c0-a71b-176d529036d3
  Show excerpt
  from joblib import Parallel, delayed from transformers import AutoTokenizer, AutoModelForTokenClassification # Load a pre-trained model and tokenizer model_name = 'bert-base-multilingual-uncased' tokenizer = AutoTokenizer.from_pretrained(m…

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tokenize sentences

Inbound mentions (7)

calledByCalled by(2)

containsContains(1)

containsFunctionContains Function(1)

followsFollows(1)

storesResultsOfStores Results of(1)

usedForUsed for(1)

Other facts (44)

Timeline

References (3)

See also

Keep researching

`calledBy`Called by(2)

`contains`Contains(1)

`containsFunction`Contains Function(1)

`follows`Follows(1)

`storesResultsOf`Stores Results of(1)

`usedFor`Used for(1)