Reformulator

as donto believed on

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

Reformulator has 53 facts recorded in Dontopedia across 12 references, with 5 live disagreements.

53 facts·34 predicates·12 sources·5 in dispute

Mostly:rdf:type(11), has attribute(3), contains(2)

Rdf:typein dispute`rdf:type`

Instance^[1]all time · A02ee05d 43ba 4227 8c08 961689e0388a
Object^[3]all time · 08880dd4 Acd2 4684 9e53 Dc73ae969620
Component^[4]sourceall time · 97ef0996 2bbf 4217 Af6b 6a0f7a933ea0
Model Wrapper^[5]sourceall time · 08d01dee 8025 41e7 Bdd4 Fa05629b996c
Tuple^[6]all time · D8979a94 2fe3 4d60 9245 1ee87c9d534c
Class^[7]all time · 94b71abb C2e9 4f49 8ab9 0a98e847ccef
Stage^[8]all time · Def76ff6 2bde 4a52 89e8 8d3cb6d99b74
Class^[9]all time · 9a2ef1d1 902f 4f34 A8d8 8a2fc7318193
Class^[10]all time · 4302642f 430c 43e2 Baf0 Ed4eef6786e5
Processing Stage^[11]all time · 67650a9a A8c9 4ad5 94a0 9080d151ac84

Inbound mentions (28)

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.

`contains`Contains(2)

Refinementex:refinement
Stagesex:stages

`hasComponent`Has Component(2)

Processing Pipelineex:processing_pipeline
Text Preprocessing Pipelineex:text-preprocessing-pipeline

`instantiatedAs`Instantiated As(2)

Query Reformulatorex:QueryReformulator
Query Reformulator Classex:QueryReformulator-class

`precedes`Precedes(2)

Vectorizerex:vectorizer
Vectorizerex:vectorizer

`appliesStage`Applies Stage(1)

Stage Applicationex:stage-application

`assignedTo`Assigned to(1)

Stage Threeex:stage-three

`belongsToList`Belongs to List(1)

Modelex:model

`calledOn`Called on(1)

Reformulateex:reformulate

`consistsOf`Consists of(1)

Text Preprocessing Pipelineex:text-preprocessing-pipeline

`containsElement`Contains Element(1)

Stages Definitionex:stages-definition

`element2`Element2(1)

Stagesex:stages

`hasMember`Has Member(1)

Stages Arrayex:stages-array

`hasStep`Has Step(1)

Transformation Chainex:transformation-chain

`importedIn`Imported in(1)

Auto Tokenizerex:AutoTokenizer

`instantiated`Instantiated(1)

User 10406ex:user-10406

`instantiatedIn`Instantiated in(1)

Reformulatorex:Reformulator

`isUsedIn`Is Used in(1)

Loggingex:logging

`memberOf`Member of(1)

Callex:__call__

`precededBy`Preceded by(1)

Normalizerex:normalizer

`presentIn`Present in(1)

Exception Handling Similarityex:exception_handling_similarity

`receivesInputFrom`Receives Input From(1)

Normalizerex:normalizer

`thirdCall`Third Call(1)

Stage Call Sequenceex:stage-call-sequence

`thirdStage`Third Stage(1)

Stage Processing Orderex:stage-processing-order

`usesStage`Uses Stage(1)

Reformulation Evaluationex:reformulation-evaluation

Other facts (39)

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.

39 facts

Predicate	Value	Ref
Has Attribute	Tokenizer	[9]
Has Attribute	Model Name	[9]
Has Attribute	Model	[10]
Contains	reformulator	[6]
Contains	Reformulator	[6]
Has Method	Call	[7]
Has Method	Call	[9]
Initializes Attribute	Model Name	[10]
Initializes Attribute	Model	[10]
Instantiates Attribute	Model	[10]
Instantiates Attribute	Model Name	[10]
Created by	Query Reformulator	[1]
Calls Method	Reformulate	[2]
Instance of	Query Reformulator Class	[3]
Initialized With	Bert Base Uncased	[3]
Is Instantiated From	Query Reformulator Class	[3]
Method Called	reformulate	[4]
Is Member of	Stages	[6]
Can Be	Sophisticated	[8]
Potential Improvement	LLM-based	[8]
Feeds Into	Normalizer	[9]
Uses Self Model	true	[9]
Uses Self Tokenizer	true	[9]
Has Purpose	Query Reformulation	[10]
Uses Library	Transformers	[10]
Uses Model	T5 Small	[10]
Uses Tokenizer	Auto Tokenizer	[10]
Uses Model Class	Auto Model for Seq2 Seq Lm	[10]
Has Initialization Method	Init	[10]
Used in	Text Preprocessing Pipeline	[10]
Is Part of	Text Preprocessing Pipeline	[10]
Import Statement	From Transformers Import Auto Model for Seq2 Seq Lm Auto Tokenizer	[10]
Docstring	'generate a More Contextually Relevant Reformulation of the Query.'	[10]
Docstring Purpose	Query Contextual Reformulation	[10]
Has Two Attributes	true	[10]
Full Class Name	Reformulator	[10]
Imports	Auto Tokenizer	[10]
Precedes	Normalizer	[11]
Preceded by	Vectorizer	[11]

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.

53 undated

—

typebeam/a02ee05d-43ba-4227-8c08-961689e0388a

ex:Instance

—

createdBybeam/a02ee05d-43ba-4227-8c08-961689e0388a

ex:QueryReformulator

—

callsMethodbeam/a6561941-c8cb-43cc-816b-d2538bce7ce6

ex:reformulate

—

instanceOfbeam/08880dd4-acd2-4684-9e53-dc73ae969620

ex:QueryReformulator-class

—

initializedWithbeam/08880dd4-acd2-4684-9e53-dc73ae969620

ex:bert-base-uncased

—

typebeam/08880dd4-acd2-4684-9e53-dc73ae969620

ex:Object

—

isInstantiatedFrombeam/08880dd4-acd2-4684-9e53-dc73ae969620

ex:QueryReformulator-class

—

typebeam/97ef0996-2bbf-4217-af6b-6a0f7a933ea0

ex:Component

—

methodCalledbeam/97ef0996-2bbf-4217-af6b-6a0f7a933ea0

reformulate

—

typebeam/08d01dee-8025-41e7-bdd4-fa05629b996c

ex:ModelWrapper

—

typebeam/d8979a94-2fe3-4d60-9245-1ee87c9d534c

ex:Tuple

—

containsbeam/d8979a94-2fe3-4d60-9245-1ee87c9d534c

reformulator

—

containsbeam/d8979a94-2fe3-4d60-9245-1ee87c9d534c

ex:Reformulator

—

isMemberOfbeam/d8979a94-2fe3-4d60-9245-1ee87c9d534c

ex:stages

—

typebeam/94b71abb-c2e9-4f49-8ab9-0a98e847ccef

ex:Class

—

labelbeam/94b71abb-c2e9-4f49-8ab9-0a98e847ccef

Reformulator

—

hasMethodbeam/94b71abb-c2e9-4f49-8ab9-0a98e847ccef

ex:__call__

—

typebeam/def76ff6-2bde-4a52-89e8-8d3cb6d99b74

ex:Stage

—

canBebeam/def76ff6-2bde-4a52-89e8-8d3cb6d99b74

ex:sophisticated

—

potentialImprovementbeam/def76ff6-2bde-4a52-89e8-8d3cb6d99b74

LLM-based

—

typebeam/9a2ef1d1-902f-4f34-a8d8-8a2fc7318193

ex:Class

—

hasAttributebeam/9a2ef1d1-902f-4f34-a8d8-8a2fc7318193

ex:tokenizer

—

hasAttributebeam/9a2ef1d1-902f-4f34-a8d8-8a2fc7318193

ex:model_name

—

hasMethodbeam/9a2ef1d1-902f-4f34-a8d8-8a2fc7318193

ex:__call__

—

feedsIntobeam/9a2ef1d1-902f-4f34-a8d8-8a2fc7318193

ex:normalizer

—

usesSelfModelbeam/9a2ef1d1-902f-4f34-a8d8-8a2fc7318193

true

—

usesSelfTokenizerbeam/9a2ef1d1-902f-4f34-a8d8-8a2fc7318193

true

—

typebeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:Class

—

labelbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

Reformulator

—

hasPurposebeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:query-reformulation

—

usesLibrarybeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:transformers

—

usesModelbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:T5-small

—

usesTokenizerbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:AutoTokenizer

—

usesModelClassbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:AutoModelForSeq2SeqLM

—

hasInitializationMethodbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:__init__

—

initializesAttributebeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:model_name

—

initializesAttributebeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:model

—

usedInbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:text-preprocessing-pipeline

—

hasAttributebeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:model

—

isPartOfbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:text-preprocessing-pipeline

—

importStatementbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:from-transformers-import-AutoModelForSeq2SeqLM-AutoTokenizer

—

instantiatesAttributebeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:model

—

instantiatesAttributebeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:model_name

—

docstringbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:'Generate a more contextually relevant reformulation of the query.'

—

docstringPurposebeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:query-contextual-reformulation

—

hasTwoAttributesbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

true

—

fullClassNamebeam/4302642f-430c-43e2-baf0-ed4eef6786e5

Reformulator

—

importsbeam/4302642f-430c-43e2-baf0-ed4eef6786e5

ex:AutoTokenizer

—

typebeam/67650a9a-a8c9-4ad5-94a0-9080d151ac84

ex:ProcessingStage

—

labelbeam/67650a9a-a8c9-4ad5-94a0-9080d151ac84

Reformulator

—

precedesbeam/67650a9a-a8c9-4ad5-94a0-9080d151ac84

ex:normalizer

—

precededBybeam/67650a9a-a8c9-4ad5-94a0-9080d151ac84

ex:vectorizer

—

typebeam/7a6d20d2-0f32-4ba7-b3bb-8b64e897ee99

ex:ClassInstance

References (12)

12 references

[1]A02ee05d 43ba 4227 8c08 961689e0388a2 facts
ctx:claims/beam/a02ee05d-43ba-4227-8c08-961689e0388a
[2]A6561941 C8cb 43cc 816b D2538bce7ce61 fact
ctx:claims/beam/a6561941-c8cb-43cc-816b-d2538bce7ce6
- full textbeam-chunk
  text/plain1 KBdoc:beam/a6561941-c8cb-43cc-816b-d2538bce7ce6
  Show excerpt
  reformulator = QueryReformulator('t5-base') query = 'What is the meaning of life?' reformulated_query = reformulator.reformulate(query) print(reformulated_query) ``` ### 3. Data Augmentation If you have a limited amount of labeled data, co…
[3]08880dd4 Acd2 4684 9e53 Dc73ae9696204 facts
ctx:claims/beam/08880dd4-acd2-4684-9e53-dc73ae969620
[4]97ef0996 2bbf 4217 Af6b 6a0f7a933ea02 facts
ctx:claims/beam/97ef0996-2bbf-4217-af6b-6a0f7a933ea0
- full textbeam-chunk
  text/plain1 KBdoc:beam/97ef0996-2bbf-4217-af6b-6a0f7a933ea0
  Show excerpt
  eval_dataset=eval_dataset, ) trainer.train() ``` ### Evaluation Metrics To evaluate the quality of reformulated queries, you can use metrics like BLEU or ROUGE: ```python from nltk.translate.bleu_score import sentence_bleu def eval…
[5]08d01dee 8025 41e7 Bdd4 Fa05629b996c1 fact
ctx:claims/beam/08d01dee-8025-41e7-bdd4-fa05629b996c
- full textbeam-chunk
  text/plain1 KBdoc:beam/08d01dee-8025-41e7-bdd4-fa05629b996c
  Show excerpt
  - The `reformulate` function takes an input query, encodes it with the tokenizer, and generates a reformulated query using the model. 3. **Prefix for Task Guidance**: - The prefix `"reformulate: "` guides the model on the task at han…
[6]D8979a94 2fe3 4d60 9245 1ee87c9d534c4 facts
ctx:claims/beam/d8979a94-2fe3-4d60-9245-1ee87c9d534c
[7]94b71abb C2e9 4f49 8ab9 0a98e847ccef3 facts
ctx:claims/beam/94b71abb-c2e9-4f49-8ab9-0a98e847ccef
- full textbeam-chunk
  text/plain1 KBdoc:beam/94b71abb-c2e9-4f49-8ab9-0a98e847ccef
  Show excerpt
  3. **Logging**: Include logging to track the reformulation process and identify potential issues. 4. **Metrics**: Consider additional metrics beyond accuracy to evaluate the effectiveness of the reformulation. ### Example Code with Improve…
[8]Def76ff6 2bde 4a52 89e8 8d3cb6d99b743 facts
ctx:claims/beam/def76ff6-2bde-4a52-89e8-8d3cb6d99b74
- full textbeam-chunk
  text/plain1 KBdoc:beam/def76ff6-2bde-4a52-89e8-8d3cb6d99b74
  Show excerpt
  1. **Refinement**: Make sure each stage is doing exactly what it needs to do. For example, the `Reformulator` stage could be more sophisticated, maybe using an LLM to generate better reformulations. 2. **Testing**: Definitely test this …
[9]9a2ef1d1 902f 4f34 A8d8 8a2fc73181937 facts
ctx:claims/beam/9a2ef1d1-902f-4f34-a8d8-8a2fc7318193
- full textbeam-chunk
  text/plain1 KBdoc:beam/9a2ef1d1-902f-4f34-a8d8-8a2fc7318193
  Show excerpt
  self.tokenizer = AutoTokenizer.from_pretrained(self.model_name) def __call__(self, text): try: # Tokenize the text inputs = self.tokenizer(text, return_tensors='pt') # Generate the re…
[10]4302642f 430c 43e2 Baf0 Ed4eef6786e521 facts
ctx:claims/beam/4302642f-430c-43e2-baf0-ed4eef6786e5
[11]67650a9a A8c9 4ad5 94a0 9080d151ac844 facts
ctx:claims/beam/67650a9a-a8c9-4ad5-94a0-9080d151ac84
[12]7a6d20d2 0f32 4ba7 B3bb 8b64e897ee991 fact
ctx:claims/beam/7a6d20d2-0f32-4ba7-b3bb-8b64e897ee99
- full textbeam-chunk
  text/plain1 KBdoc:beam/7a6d20d2-0f32-4ba7-b3bb-8b64e897ee99
  Show excerpt
  logging.error(f'Error in PostProcessor for text "{text}": {e}') return text # Define the evaluation function def evaluate_reformulation(stages, inputs, outputs): # Apply the reformulation stages to the inputs …

Keep researching

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Reformulator

Rdf:typein disputerdf:type

Inbound mentions (28)

containsContains(2)

hasComponentHas Component(2)

instantiatedAsInstantiated As(2)

precedesPrecedes(2)

appliesStageApplies Stage(1)

assignedToAssigned to(1)

belongsToListBelongs to List(1)

calledOnCalled on(1)

consistsOfConsists of(1)

containsElementContains Element(1)

element2Element2(1)

hasMemberHas Member(1)

hasStepHas Step(1)

importedInImported in(1)

instantiatedInstantiated(1)

instantiatedInInstantiated in(1)

isUsedInIs Used in(1)

memberOfMember of(1)

precededByPreceded by(1)

presentInPresent in(1)

receivesInputFromReceives Input From(1)

thirdCallThird Call(1)

thirdStageThird Stage(1)

usesStageUses Stage(1)

Other facts (39)

Timeline

References (12)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`contains`Contains(2)

`hasComponent`Has Component(2)

`instantiatedAs`Instantiated As(2)

`precedes`Precedes(2)

`appliesStage`Applies Stage(1)

`assignedTo`Assigned to(1)

`belongsToList`Belongs to List(1)

`calledOn`Called on(1)

`consistsOf`Consists of(1)

`containsElement`Contains Element(1)

`element2`Element2(1)

`hasMember`Has Member(1)

`hasStep`Has Step(1)

`importedIn`Imported in(1)

`instantiated`Instantiated(1)

`instantiatedIn`Instantiated in(1)

`isUsedIn`Is Used in(1)

`memberOf`Member of(1)

`precededBy`Preceded by(1)

`presentIn`Present in(1)

`receivesInputFrom`Receives Input From(1)

`thirdCall`Third Call(1)

`thirdStage`Third Stage(1)

`usesStage`Uses Stage(1)