ALBERT
E435869
ALBERT is a lightweight, parameter-efficient variant of the BERT language model designed to achieve strong natural language understanding performance with reduced memory and computation costs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ALBERT canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4389194 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALBERT Context triple: [Hugging Face Transformers, supportsModelType, ALBERT]
-
A.
Albert
Albert is the given first name of American actor and singer Gordon MacRae, best known for his roles in classic film musicals like "Oklahoma!" and "Carousel."
-
B.
Albert
Albert is the given name of the 19th-century German-American painter Albert Bierstadt, renowned for his grand landscapes of the American West.
-
C.
Albert
Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
-
D.
Albert
Albert is the given name of Albert A. Michelson, the pioneering physicist known for his precise measurements of the speed of light and the Michelson–Morley experiment.
-
E.
Albert
Albert is a middle-aged divorcé portrayed by James Gandolfini in the romantic comedy film "Enough Said," where he becomes the love interest of Julia Louis-Dreyfus's character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ALBERT Target entity description: ALBERT is a lightweight, parameter-efficient variant of the BERT language model designed to achieve strong natural language understanding performance with reduced memory and computation costs.
-
A.
Albert
Albert is the given first name of American actor and singer Gordon MacRae, best known for his roles in classic film musicals like "Oklahoma!" and "Carousel."
-
B.
Albert
Albert is the given name of the 19th-century German-American painter Albert Bierstadt, renowned for his grand landscapes of the American West.
-
C.
Albert
Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
-
D.
Albert
Albert is the given name of Albert A. Michelson, the pioneering physicist known for his precise measurements of the speed of light and the Michelson–Morley experiment.
-
E.
Albert
Albert is a middle-aged divorcé portrayed by James Gandolfini in the romantic comedy film "Enough Said," where he becomes the love interest of Julia Louis-Dreyfus's character.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
BERT variant
ⓘ
language model ⓘ neural network model ⓘ transformer-based model ⓘ |
| achieves | state-of-the-art results on several benchmarks at release ⓘ |
| acronymFor | A Lite BERT NERFINISHED ⓘ |
| aimsTo |
maintain strong performance
ⓘ
reduce computation cost ⓘ reduce memory usage ⓘ |
| basedOn | BERT NERFINISHED ⓘ |
| compatibleWith | Hugging Face Transformers NERFINISHED ⓘ |
| describedInPaper | ALBERT: A Lite BERT for Self-supervised Learning of Language Representations NERFINISHED ⓘ |
| designedFor | natural language understanding ⓘ |
| evaluatedOn |
GLUE benchmark
NERFINISHED
ⓘ
RACE dataset NERFINISHED ⓘ SQuAD NERFINISHED ⓘ |
| fullName | A Lite BERT NERFINISHED ⓘ |
| hasArchitecture | Transformer NERFINISHED ⓘ |
| hasFeature |
cross-layer parameter sharing
ⓘ
smaller embedding size with projection ⓘ |
| hasObjective | sentence-order prediction ⓘ |
| hasOpenSourceImplementation | Yes ⓘ |
| hasProperty |
computationally-efficient
ⓘ
lightweight ⓘ memory-efficient ⓘ parameter-efficient ⓘ |
| hasVariant |
ALBERT-base
NERFINISHED
ⓘ
ALBERT-large NERFINISHED ⓘ ALBERT-xlarge NERFINISHED ⓘ ALBERT-xxlarge NERFINISHED ⓘ |
| implementedIn | TensorFlow NERFINISHED ⓘ |
| introducedBy |
Google Research
NERFINISHED
ⓘ
Toyota Technological Institute at Chicago NERFINISHED ⓘ |
| introducedIn | 2019 ⓘ |
| language | English (pretrained models) ⓘ |
| paperAuthorsInclude |
Kevin Gimpel
NERFINISHED
ⓘ
Mingda Chen NERFINISHED ⓘ Piyush Sharma NERFINISHED ⓘ Radu Soricut NERFINISHED ⓘ Sebastian Goodman NERFINISHED ⓘ Zhenzhong Lan NERFINISHED ⓘ |
| replacesObjective | next sentence prediction ⓘ |
| supports |
sentence-level tasks
ⓘ
token-level tasks ⓘ |
| trainedWith | masked language modeling ⓘ |
| uses | self-attention ⓘ |
| usesTechnique |
factorized embedding parameterization
ⓘ
parameter sharing across layers ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: ALBERT Description of subject: ALBERT is a lightweight, parameter-efficient variant of the BERT language model designed to achieve strong natural language understanding performance with reduced memory and computation costs.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.