Intelligent Forecast with Dimension Reduction. - István Juhos; György Szarvas (WSC, 2004)

A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms. - György Szarvas; Richárd Farkas; András Kocsor (Discovery Science, 2006)

A highly accurate Named Entity corpus for Hungarian. - György Szarvas; Richárd Farkas; László Felföldi; András Kocsor; János Csirik (LREC, 2006)

Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms. - Richárd Farkas; György Szarvas; András Kocsor (Acta Cybern., 2006)

Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web. - Richárd Farkas; György Szarvas; Róbert Ormándi (ICDM, 2007)

GYDER: Maxent Metonymy Resolution. - Richárd Farkas; Eszter Simon; György Szarvas; Dániel Varga (SemEval@ACL, 2007)

Research Paper: State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework. - György Szarvas; Richárd Farkas; Róbert Busa-Fekete (J. Am. Medical Informatics Assoc., 2007)

Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords. - György Szarvas (ACL, 2008)

The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts. - György Szarvas; Veronika Vincze; Richárd Farkas; János Csirik (BioNLP, 2008)

Hungarian Word-Sense Disambiguated Corpus. - Veronika Vincze; György Szarvas; Attila Almási; Dóra Szauter; Róbert Ormándi; Richárd Farkas; Csaba Hatvani; János Csirik (LREC, 2008)

Web-Based Lemmatisation of Named Entities. - Richárd Farkas; Veronika Vincze; István Nagy T.; Róbert Ormándi; György Szarvas; Attila Almási (TSD, 2008)

Automatic construction of rule-based ICD-9-CM coding systems. - Richárd Farkas; György Szarvas (BMC Bioinform., 2008)

The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes. - Veronika Vincze; György Szarvas; Richárd Farkas; György Móra; János Csirik (BMC Bioinform., 2008)

Exploring ways beyond the simple supervised learning approach for biological event extraction. - György Móra; Richárd Farkas; György Szarvas; Zsolt Molnár (BioNLP@HLT-NAACL (Shared Task), 2009)

Prior Art Search using International Patent Classification Codes and All-Claims-Queries. - György Szarvas; Benjamin Herbert; Iryna Gurevych (CLEF (Working Notes), 2009)

Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts. - Richárd Farkas; György Szarvas; István Hegedüs; Attila Almási; Veronika Vincze; Róbert Ormándi; Róbert Busa-Fekete (J. Am. Medical Informatics Assoc., 2009)

The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text. - Richárd Farkas; Veronika Vincze; György Móra; János Csirik; György Szarvas (CoNLL Shared Task, 2010)

What helps where - and why? Semantic relatedness for knowledge transfer. - Marcus Rohrbach; Michael Stark 003; György Szarvas; Iryna Gurevych; Bernt Schiele (CVPR, 2010)

Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer. - Marcus Rohrbach; Michael Stark 003; György Szarvas; Bernt Schiele (ECCV Workshops (1), 2010)

TUD: Semantic Relatedness for Relation Classification. - György Szarvas; Iryna Gurevych (SemEval@ACL, 2010)

Linguistic scope-based and biological event-based speculation and negation annotations in the Genia Event and BioScope corpora. - Veronika Vincze; György Szarvas; György Móra; Tomoko Ohta; Richárd Farkas (Semantic Mining in Biomedicine, 2010)

Combining Heterogeneous Knowledge Resources for Improved Distributional Semantic Models. - György Szarvas; Torsten Zesch; Iryna Gurevych (CICLing (1), 2011)

Combining Query Translation Techniques to Improve Cross-Language Information Retrieval. - Benjamin Herbert; György Szarvas; Iryna Gurevych (ECIR, 2011)

A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost. - Róbert Busa-Fekete; Balázs Kégl; Tamás Éltetö; György Szarvas (ECML/PKDD (1), 2011)

Linguistic scope-based and biological event-based speculation and negation annotations in the BioScope and Genia Event corpora. - Veronika Vincze; György Szarvas; György Móra; Tomoko Ohta; Richárd Farkas (J. Biomed. Semant., 2011)

Ranking by calibrated AdaBoost. - Róbert Busa-Fekete; Balázs Kégl; Tamás Éltetö; György Szarvas (Yahoo! Learning to Rank Challenge, 2011)

Cross-Genre and Cross-Domain Detection of Semantic Uncertainty. - György Szarvas; Veronika Vincze; Richárd Farkas; György Móra; Iryna Gurevych (Comput. Linguistics, 2012)

Learning to Rank Lexical Substitutions. - György Szarvas; Róbert Busa-Fekete; Eyke Hüllermeier (EMNLP, 2013)

Uncertainty Detection for Natural Language Watermarking. - György Szarvas; Iryna Gurevych (IJCNLP, 2013)

Supervised All-Words Lexical Substitution using Delexicalized Features. - György Szarvas; Chris Biemann; Iryna Gurevych (HLT-NAACL, 2013)

Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers. - Róbert Busa-Fekete; Balázs Kégl; Tamás Éltetö; György Szarvas (Mach. Learn., 2013)

Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels. - Lea Frermann; György Szarvas (EMNLP, 2017)

A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings. - Lahari Poddar; György Szarvas; Lea Frermann (CoRR, 2019)

The Multilingual Amazon Reviews Corpus. - Phillip Keung; Yichao Lu; György Szarvas; Noah A. Smith (EMNLP (1), 2020)

Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. - Jiahuan Pei; Cheng Wang 002; György Szarvas (AAAI, 2022)

Deploying a Retrieval based Response Model for Task Oriented Dialogues. - Lahari Poddar; György Szarvas; Cheng Wang 002; Jorge Balazs; Pavel Danchenko; Patrick Ernst (EMNLP (Industry Track), 2022)

Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study. - Cheng Wang 002; Jorge Balazs; György Szarvas; Patrick Ernst; Lahari Poddar; Pavel Danchenko (EMNLP (Industry Track), 2022)

Few Shot Rationale Generation using Self-Training with Dual Teachers. - Aditya Srikanth Veerubhotla; Lahari Poddar; Jun Yin; György Szarvas; Sharanya Eswaran (ACL (Findings), 2023)

Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems. - Magdalena Kaiser; Patrick Ernst; György Szarvas (EMNLP (Findings), 2024)