Holger Schwenk

E931653

computer scientist researcher

Holger Schwenk is a computer scientist and researcher known for his influential work in neural machine translation and language modeling, including early contributions to RNN-based encoder–decoder architectures.

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All labels observed (1)

Label	Occurrences
Holger Schwenk canonical	1

Statements (34)

Predicate	Object
instanceOf	computer scientist ⓘ researcher ⓘ
citizenship	Germany ⓘ
contributedTo	development of encoder–decoder architectures for NMT ⓘ integration of neural language models into SMT systems ⓘ
employer	Facebook AI Research NERFINISHED ⓘ LIUM (Laboratoire d’Informatique de l’Université du Mans) NERFINISHED ⓘ Meta AI NERFINISHED ⓘ Université du Maine NERFINISHED ⓘ
fieldOfWork	artificial intelligence ⓘ language modeling ⓘ machine learning ⓘ natural language processing ⓘ neural machine translation ⓘ
hasAcademicDiscipline	computer science ⓘ
knownFor	RNN-based encoder–decoder architectures ⓘ continuous space language models ⓘ language modeling ⓘ neural machine translation ⓘ statistical machine translation ⓘ
languageSpoken	English ⓘ French ⓘ German ⓘ
notableWork	early RNN encoder–decoder models for translation ⓘ large-scale multilingual machine translation systems ⓘ research on continuous space language models ⓘ research on neural machine translation ⓘ
positionHeld	professor ⓘ research scientist ⓘ
researchInterest	large-scale language modeling ⓘ multilingual representation learning ⓘ sequence-to-sequence learning ⓘ speech and text translation ⓘ
workLocation	France ⓘ

Referenced by (1)

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 → Holger Schwenk ⓘ