ARC2

E487731

deep learning model architecture neural network architecture text classification model

ARC2 is a deep learning model architecture designed for efficient and accurate text classification tasks.

Try in SPARQL Jump to: Statements Referenced by

Statements (27)

Predicate	Object
instanceOf	deep learning model architecture ⓘ neural network architecture ⓘ text classification model ⓘ
basedOn	deep learning ⓘ
belongsToField	artificial intelligence ⓘ machine learning ⓘ natural language processing ⓘ
designedFor	natural language processing ⓘ text classification ⓘ
evaluationMetric	F1 score ⓘ classification accuracy ⓘ precision ⓘ recall ⓘ
hasProperty	accuracy ⓘ efficiency ⓘ supervised learning ⓘ
inputType	tokenized text ⓘ
operatesOn	text data ⓘ
optimizationGoal	improving classification accuracy ⓘ reducing computational cost ⓘ
outputType	class labels ⓘ
supports	supervised training on labeled datasets ⓘ
taskType	classification ⓘ
usedIn	document categorization ⓘ intent classification ⓘ natural language understanding pipelines ⓘ topic classification ⓘ

Full triples — surface form annotated when it differs from this entity's canonical label.

RC2 → alsoKnownAs → ARC2 ⓘ