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Szarvas, György
48  Ergebnisse:
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1

SiDiM - Schlussbericht 

Berichtszeitraum: 01.04.2011 - 30.06.2013 
Gurevych, Iryna ; Szarvas, György - Version: 1.1 . , 2013
Link: http://edok01.tib.uni-ha..
 
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2

Tune and mix: learning to rank using ensembles of calibrate..:

Busa-Fekete, Róbert ; Kégl, Balázs ; Éltető, Tamás.
Machine Learning.  93 (2013)  2-3 - p. 261-292 , 2013
Link: https://doi.org/10.1007/..
 
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3

Cross-Genre and Cross-Domain Detection of Semantic Uncertai..:

Szarvas, György ; Vincze, Veronika ; Farkas, Richárd..
Computational Linguistics.  38 (2012)  2 - p. 335-367 , 2012
Link: https://doi.org/10.1162/..
 
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Linguistic scope-based and biological event-based speculati..:

Vincze, Veronika ; Szarvas, György ; Móra, György..
Journal of Biomedical Semantics.  2 (2011)  Suppl 5 - p. S8 , 2011
Link: https://doi.org/10.1186/..
 
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5

The BioScope corpus: biomedical texts annotated for uncerta..:

Vincze, Veronika ; Szarvas, György ; Farkas, Richárd..
BMC Bioinformatics.  9 (2008)  S11 - p. , 2008
Link: https://doi.org/10.1186/..
 
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Automatic construction of rule-based ICD-9-CM coding system:

Farkas, Richárd ; Szarvas, György
BMC Bioinformatics.  9 (2008)  S3 - p. , 2008
Link: https://doi.org/10.1186/..
 
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7

Few Shot Rationale Generation using Self-Training with Dual..:

Veerubhotla, Aditya Srikanth ; Poddar, Lahari ; Yin, Jun..
http://arxiv.org/abs/2306.03315.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Taming Continuous Posteriors for Latent Variational Dialogu..:

Vlastelica, Marin ; Ernst, Patrick ; Szarvas, György
http://arxiv.org/abs/2205.07633.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Deploying a Retrieval based Response Model for Task Oriente..:

Poddar, Lahari ; Szarvas, György ; Wang, Cheng...
http://arxiv.org/abs/2210.14379.  , 2022
Link: http://arxiv.org/abs/221..
 
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10

Transformer Uncertainty Estimation with Hierarchical Stocha..:

Pei, Jiahuan ; Wang, Cheng ; Szarvas, György
http://arxiv.org/abs/2112.13776.  , 2021
Link: http://arxiv.org/abs/211..
 
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11

The Multilingual Amazon Reviews Corpus:

Keung, Phillip ; Lu, Yichao ; Szarvas, György.
http://arxiv.org/abs/2010.02573.  , 2020
Link: http://arxiv.org/abs/201..
 
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12

A Probabilistic Framework for Learning Domain Specific Hier..:

Poddar, Lahari ; Szarvas, Gyorgy ; Frermann, Lea
http://arxiv.org/abs/1910.07333.  , 2019
Link: http://arxiv.org/abs/191..
 
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13

Tune and mix: learning to rank using ensembles of calibrate..:

Busa-Fekete Róbert ; Kégl Balázs ; Éltető Tamás.
http://publicatio.bibl.u-szeged.hu/3825/1/BuKeElSz13.pdf.  , 2013
Link: http://publicatio.bibl.u..
 
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14

Learning to rank lexical substitutions:

Szarvas György ; Busa-Fekete Róbert ; Hüllermeier Eyke
http://publicatio.bibl.u-szeged.hu/3837/1/SzBuHu13.pdf.  , 2013
Link: http://publicatio.bibl.u..
 
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15

An apple-to-apple comparison of Learning-to-rank algorithms..:

Busa-Fekete, Róbert ; Szarvas, György ; Élteto, Tamás.
in2p3-00726760.  , 2012
Link: https://hal.in2p3.fr/in2..
 
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