Holger Schwenk
E931653
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Holger Schwenk canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11003310 — 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: Holger Schwenk Context triple: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, author, Holger Schwenk]
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A.
Holger Weise
Holger Weise is a German local politician who serves as the mayor of the municipality of Steinheim am Albuch in Baden-Württemberg.
-
B.
Johannes Popitz
Johannes Popitz was a German lawyer, conservative politician, and high-ranking finance official who served as Prussian finance minister and later became involved in resistance circles against the Nazi regime.
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C.
Andreas Hügerich
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
-
D.
Andreas Scholz
Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
-
E.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
- 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: Holger Schwenk Target entity description: 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.
-
A.
Holger Weise
Holger Weise is a German local politician who serves as the mayor of the municipality of Steinheim am Albuch in Baden-Württemberg.
-
B.
Johannes Popitz
Johannes Popitz was a German lawyer, conservative politician, and high-ranking finance official who served as Prussian finance minister and later became involved in resistance circles against the Nazi regime.
-
C.
Andreas Hügerich
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
-
D.
Andreas Scholz
Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
-
E.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
- F. None of above. chosen
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 ⓘ |
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: Holger Schwenk Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.