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Öhman, Joey
11
results:
Search for persons
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Format
Online (11)
Mediatypes
Bookchapter (Online) (1)
OpenAccess-fulltext (10)
Sorted by: Relevance
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?
1
Compiling Universal Probabilistic Programming Languages wit..:
, In:
Programming Languages and Systems; Lecture Notes in Computer Science
,
Lundén, Daniel
;
Öhman, Joey
;
Kudlicka, Jan
... - p. 29-56 , 2022
Link:
https://doi.org/10.1007/..
?
2
Text Annotation Handbook: A Practical Guide for Machine Lea..:
Stollenwerk, Felix
;
Öhman, Joey
;
Petrelli, Danila
...
http://arxiv.org/abs/2310.11780. , 2023
Link:
http://arxiv.org/abs/231..
?
3
Annotated Job Ads with Named Entity Recognition:
Stollenwerk, Felix
;
Fastlund, Niklas
;
Nyqvist, Anna
.
http://arxiv.org/abs/2310.11769. , 2023
Link:
http://arxiv.org/abs/231..
?
4
The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeli..:
Öhman, Joey
;
Verlinden, Severine
;
Ekgren, Ariel
...
http://arxiv.org/abs/2303.17183. , 2023
Link:
http://arxiv.org/abs/230..
?
5
GPT-SW3: An Autoregressive Language Model for the Nordic La..:
Ekgren, Ariel
;
Gyllensten, Amaru Cuba
;
Stollenwerk, Felix
...
http://arxiv.org/abs/2305.12987. , 2023
Link:
http://arxiv.org/abs/230..
?
6
Compiling Universal Probabilistic Programming Languages wit..:
Lundén, Daniel
;
Öhman, Joey
;
Kudlicka, Jan
...
Lecture Notes in Computer Science, 0302-9743. , 2022
Link:
http://urn.kb.se/resolve..
?
7
Compiling Universal Probabilistic Programming Languages wit..:
Lundén, Daniel
;
Öhman, Joey
;
Kudlicka, Jan
...
http://arxiv.org/abs/2112.00364. , 2021
Link:
http://arxiv.org/abs/211..
?
8
Active Learning for Named Entity Recognition with Swedish L..:
Öhman, Joey
TRITA-EECS-EX. , 2021
Link:
http://urn.kb.se/resolve..
?
9
AlphaZero to Alpha Hero : A pre-study on Additional Tree Sa..:
Carlsson, Fredrik
;
Öhman, Joey
TRITA-EECS-EX. , 2019
Link:
http://urn.kb.se/resolve..
?
10
Artifact: Compiling Universal Probabilistic Programming Lan..:
Daniel Lundén
;
Joey Öhman
;
Jan Kudlicka
...
doi:10.5281/zenodo.5914164. , 2022
Link:
https://zenodo.org/recor..
?
11
Artifact: Compiling Universal Probabilistic Programming Lan..:
Daniel Lundén
;
Joey Öhman
;
Jan Kudlicka
...
doi:10.5281/zenodo.5914164. , 2022
Link:
https://zenodo.org/recor..
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