György Szarvas

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 11

Top Topics

Learning To Rank

Comparable Corpora

Exploration Exploitation Dilemma

Top Venues

EMNLP (Industry Track)

Publications

Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin, György Szarvas, Sharanya Eswaran
Few Shot Rationale Generation using Self-Training with Dual Teachers. ACL (Findings) (2023)
Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin, György Szarvas, Sharanya Eswaran
Few Shot Rationale Generation using Self-Training with Dual Teachers. CoRR (2023)
Lahari Poddar, György Szarvas, Cheng Wang, Jorge Balazs, Pavel Danchenko, Patrick Ernst
Deploying a Retrieval based Response Model for Task Oriented Dialogues. EMNLP (Industry Track) (2022)
Jiahuan Pei, Cheng Wang, György Szarvas
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. AAAI (2022)
Lahari Poddar, György Szarvas, Cheng Wang, Jorge Balazs, Pavel Danchenko, Patrick Ernst
Deploying a Retrieval based Response Model for Task Oriented Dialogues. CoRR (2022)
Cheng Wang, Jorge Balazs, György Szarvas, Patrick Ernst, Lahari Poddar, Pavel Danchenko
Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study. EMNLP (Industry Track) (2022)
Jiahuan Pei, Cheng Wang, György Szarvas
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. CoRR (2021)
Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith
The Multilingual Amazon Reviews Corpus. EMNLP (1) (2020)
Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith
The Multilingual Amazon Reviews Corpus. CoRR (2020)
Lahari Poddar, György Szarvas, Lea Frermann
A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings. CoRR (2019)
Lea Frermann, György Szarvas
Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels. EMNLP (2017)
György Szarvas, Iryna Gurevych
Uncertainty Detection for Natural Language Watermarking. IJCNLP (2013)
György Szarvas, Róbert Busa-Fekete, Eyke Hüllermeier
Learning to Rank Lexical Substitutions. EMNLP (2013)
Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas
Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers. Mach. Learn. 93 (2-3) (2013)
György Szarvas, Chris Biemann, Iryna Gurevych
Supervised All-Words Lexical Substitution using Delexicalized Features. HLT-NAACL (2013)
György Szarvas, Veronika Vincze, Richárd Farkas, György Móra, Iryna Gurevych
Cross-Genre and Cross-Domain Detection of Semantic Uncertainty. Comput. Linguistics 38 (2) (2012)
Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas
A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost. ECML/PKDD (1) (2011)
György Szarvas, Torsten Zesch, Iryna Gurevych
Combining Heterogeneous Knowledge Resources for Improved Distributional Semantic Models. CICLing (1) (2011)
Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas
Ranking by calibrated AdaBoost. Yahoo! Learning to Rank Challenge (2011)
Benjamin Herbert, György Szarvas, Iryna Gurevych
Combining Query Translation Techniques to Improve Cross-Language Information Retrieval. ECIR (2011)
Veronika Vincze, György Szarvas, György Móra, Tomoko Ohta, Richárd Farkas
Linguistic scope-based and biological event-based speculation and negation annotations in the BioScope and Genia Event corpora. J. Biomed. Semant. 2 (S-5) (2011)
Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele
Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer. ECCV Workshops (1) (2010)
Richárd Farkas, Veronika Vincze, György Móra, János Csirik, György Szarvas
The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text. CoNLL Shared Task (2010)
György Szarvas, Iryna Gurevych
TUD: Semantic Relatedness for Relation Classification. SemEval@ACL (2010)
Veronika Vincze, György Szarvas, György Móra, Tomoko Ohta, Richárd Farkas
Linguistic scope-based and biological event-based speculation and negation annotations in the Genia Event and BioScope corpora. Semantic Mining in Biomedicine (2010)
Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele
What helps where - and why? Semantic relatedness for knowledge transfer. CVPR (2010)
György Szarvas, Benjamin Herbert, Iryna Gurevych
Prior Art Search using International Patent Classification Codes and All-Claims-Queries. CLEF (Working Notes) (2009)
György Móra, Richárd Farkas, György Szarvas, Zsolt Molnár
Exploring ways beyond the simple supervised learning approach for biological event extraction. BioNLP@HLT-NAACL (Shared Task) (2009)
Benjamin Herbert, György Szarvas, Iryna Gurevych
Prior Art Search Using International Patent Classification Codes and All-Claims-Queries. CLEF (1) (2009)
Richárd Farkas, György Szarvas, István Hegedüs, Attila Almási, Veronika Vincze, Róbert Ormándi, Róbert Busa-Fekete
Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts. J. Am. Medical Informatics Assoc. 16 (4) (2009)
Richárd Farkas, Veronika Vincze, István Nagy T., Róbert Ormándi, György Szarvas, Attila Almási
Web-Based Lemmatisation of Named Entities. TSD (2008)
György Szarvas, Veronika Vincze, Richárd Farkas, János Csirik
The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts. BioNLP (2008)
György Szarvas
Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords. ACL (2008)
Richárd Farkas, György Szarvas
Automatic construction of rule-based ICD-9-CM coding systems. BMC Bioinform. 9 (S-3) (2008)
Veronika Vincze, György Szarvas, Attila Almási, Dóra Szauter, Róbert Ormándi, Richárd Farkas, Csaba Hatvani, János Csirik
Hungarian Word-Sense Disambiguated Corpus. LREC (2008)
Veronika Vincze, György Szarvas, Richárd Farkas, György Móra, János Csirik
The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes. BMC Bioinform. 9 (S-11) (2008)
György Szarvas, Richárd Farkas, Róbert Busa-Fekete
Research Paper: State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework. J. Am. Medical Informatics Assoc. 14 (5) (2007)
Richárd Farkas, Eszter Simon, György Szarvas, Dániel Varga
GYDER: Maxent Metonymy Resolution. SemEval@ACL (2007)
Richárd Farkas, György Szarvas, Róbert Ormándi
Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web. ICDM (2007)
Richárd Farkas, György Szarvas, András Kocsor
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms. Acta Cybern. 17 (3) (2006)
György Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik
A highly accurate Named Entity corpus for Hungarian. LREC (2006)
György Szarvas, Richárd Farkas, András Kocsor
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms. Discovery Science (2006)
István Juhos, György Szarvas
Intelligent Forecast with Dimension Reduction. WSC (2004)