Kyunghyun Cho

E899025

computer scientist researcher university professor

Kyunghyun Cho is a computer scientist and professor known for his influential work in deep learning and neural machine translation, including early contributions to encoder–decoder architectures and attention mechanisms.

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All labels observed (1)

Label	Occurrences
Kyunghyun Cho canonical	2

Statements (45)

Predicate	Object
instanceOf	computer scientist ⓘ researcher ⓘ university professor ⓘ
citizenship	South Korea NERFINISHED ⓘ
coAuthor	Bart van Merrienboer NERFINISHED ⓘ Dzmitry Bahdanau NERFINISHED ⓘ Graham Neubig NERFINISHED ⓘ Myle Ott NERFINISHED ⓘ Rico Sennrich NERFINISHED ⓘ Yoshua Bengio NERFINISHED ⓘ
educatedAt	Aalto University NERFINISHED ⓘ
employer	New York University ⓘ
fieldOfStudy	computer science ⓘ
fieldOfWork	artificial intelligence ⓘ deep learning ⓘ machine learning ⓘ natural language processing ⓘ neural machine translation ⓘ
hasAcademicAdvisor	Juha Karhunen NERFINISHED ⓘ
hasContribution	advances in attention-based translation models ⓘ development of gated recurrent architectures ⓘ popularization of encoder–decoder terminology in NMT ⓘ
hasHIndex	very high in machine learning and NLP research ⓘ
hasRole	principal investigator on research projects ⓘ
knownFor	attention mechanisms in neural networks ⓘ early neural machine translation models ⓘ encoder–decoder architectures for neural machine translation ⓘ gated recurrent unit NERFINISHED ⓘ
language	English ⓘ Korean ⓘ
memberOf	New York University Center for Data Science NERFINISHED ⓘ
notableWork	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling NERFINISHED ⓘ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation NERFINISHED ⓘ Neural Machine Translation by Jointly Learning to Align and Translate NERFINISHED ⓘ On the Properties of Neural Machine Translation: Encoder–Decoder Approaches NERFINISHED ⓘ
occupation	author ⓘ professor ⓘ scientist ⓘ
researchInterest	multilingual NLP ⓘ optimization for deep learning ⓘ representation learning ⓘ sequence-to-sequence learning ⓘ
teaches	deep learning ⓘ natural language processing ⓘ
workLocation	New York City ⓘ

Referenced by (2)

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

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation → author → Kyunghyun Cho ⓘ

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation → firstAuthor → Kyunghyun Cho ⓘ