Corinna Cortes

E363686

computer scientist person researcher

Corinna Cortes is a prominent computer scientist known for her contributions to machine learning and pattern recognition, including co-developing the widely used MNIST dataset and the support vector machine (SVM) framework.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label	Occurrences
Corinna Cortes canonical	4

Statements (45)

Predicate	Object
instanceOf	computer scientist ⓘ person ⓘ researcher ⓘ
academicDegree	PhD in computer science ⓘ
awardReceived	Paris Kanellakis Theory and Practice Award ⓘ surface form: ACM Paris Kanellakis Theory and Practice Award NeurIPS Test of Time Award ⓘ surface form: NIPS Test of Time Award Paris Kanellakis Theory and Practice Award ⓘ
citizenship	Danish ⓘ
coAuthorOf	Support Vector Machines ⓘ surface form: Support-Vector Networks
coAuthorWith	Vladimir Vapnik ⓘ Yann LeCun ⓘ
coDeveloperOf	MNIST ⓘ surface form: MNIST dataset
educatedAt	University of Rochester ⓘ Université Paris-Sud ⓘ surface form: Université de Paris-Sud
employer	Bell Telephone Laboratories ⓘ surface form: AT&T Bell Labs AT&T Labs – Research ⓘ surface form: AT&T Labs-Research Google ⓘ
fieldOfWork	machine learning ⓘ pattern recognition ⓘ statistics ⓘ theoretical computer science ⓘ
gender	female ⓘ
hasResearchInterest	classification algorithms ⓘ data mining ⓘ kernel methods ⓘ large-scale learning ⓘ supervised learning ⓘ
influenced	kernel methods in machine learning ⓘ large-margin classification ⓘ supervised learning research ⓘ
knownFor	MNIST ⓘ surface form: MNIST dataset SVM framework ⓘ machine learning algorithms ⓘ pattern recognition methods ⓘ support vector machines ⓘ
languageSpoken	Danish ⓘ English ⓘ French ⓘ
memberOf	Association for Computing Machinery ⓘ Institute of Electrical and Electronics Engineers ⓘ surface form: IEEE
notableStudent	Mehryar Mohri ⓘ
notableWork	MNIST ⓘ surface form: MNIST handwritten digit database Support Vector Machines ⓘ surface form: Support-Vector Networks (1995)
positionHeld	Head of Google Research New York ⓘ
workLocation	New York City ⓘ

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: Corinna Cortes
Description of subject: Corinna Cortes is a prominent computer scientist known for her contributions to machine learning and pattern recognition, including co-developing the widely used MNIST dataset and the support vector machine (SVM) framework.

Referenced by (4)

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

MNIST → creator → Corinna Cortes ⓘ

NeurIPS Test of Time Award → notableRecipient → Corinna Cortes ⓘ

Modified National Institute of Standards and Technology database → creator → Corinna Cortes ⓘ

Vladimir Vapnik → hasCollaborator → Corinna Cortes ⓘ