György Szarvas

46 papers A* 6A 1B 4Misc 1Journal 14Unranked 19

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems. EMNLP (Findings) Magdalena Kaiser, Patrick Ernst, György Szarvas
2024	J	`jnl`	Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems. CoRR Magdalena Kaiser, Patrick Ernst, György Szarvas
2023	—	`conf`	Few Shot Rationale Generation using Self-Training with Dual Teachers. ACL (Findings) Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin, György Szarvas, Sharanya Eswaran
2023	J	`jnl`	Few Shot Rationale Generation using Self-Training with Dual Teachers. CoRR Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin, György Szarvas, Sharanya Eswaran
2022	—	`conf`	Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study. EMNLP (Industry Track) Cheng Wang, Jorge Balazs, György Szarvas, Patrick Ernst, Lahari Poddar, Pavel Danchenko
2022	—	`conf`	Deploying a Retrieval based Response Model for Task Oriented Dialogues. EMNLP (Industry Track) Lahari Poddar, György Szarvas, Cheng Wang, Jorge Balazs, Pavel Danchenko, Patrick Ernst
2022	J	`jnl`	Deploying a Retrieval based Response Model for Task Oriented Dialogues. CoRR Lahari Poddar, György Szarvas, Cheng Wang, Jorge Balazs, Pavel Danchenko, Patrick Ernst
2022	A*	`conf`	Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. AAAI Jiahuan Pei, Cheng Wang, György Szarvas
2021	J	`jnl`	Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. CoRR Jiahuan Pei, Cheng Wang, György Szarvas
2020	—	`conf`	The Multilingual Amazon Reviews Corpus. EMNLP (1) Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith
2020	J	`jnl`	The Multilingual Amazon Reviews Corpus. CoRR Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith
2019	J	`jnl`	A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings. CoRR Lahari Poddar, György Szarvas, Lea Frermann
2017	A*	`conf`	Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels. EMNLP Lea Frermann, György Szarvas
2013	A*	`conf`	Learning to Rank Lexical Substitutions. EMNLP György Szarvas, Róbert Busa-Fekete, Eyke Hüllermeier
2013	—	`conf`	Supervised All-Words Lexical Substitution using Delexicalized Features. HLT-NAACL György Szarvas, Chris Biemann, Iryna Gurevych
2013	J	`jnl`	Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers. Mach. Learn. Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas
2013	B	`conf`	Uncertainty Detection for Natural Language Watermarking. IJCNLP György Szarvas, Iryna Gurevych
2012	J	`jnl`	Cross-Genre and Cross-Domain Detection of Semantic Uncertainty. Comput. Linguistics György Szarvas, Veronika Vincze, Richárd Farkas, György Móra, Iryna Gurevych
2011	—	`conf`	A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost. ECML/PKDD (1) Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas
2011	—	`conf`	Combining Heterogeneous Knowledge Resources for Improved Distributional Semantic Models. CICLing (1) György Szarvas, Torsten Zesch, Iryna Gurevych
2011	A	`conf`	Combining Query Translation Techniques to Improve Cross-Language Information Retrieval. ECIR Benjamin Herbert, György Szarvas, Iryna Gurevych
2011	J	`jnl`	Linguistic scope-based and biological event-based speculation and negation annotations in the BioScope and Genia Event corpora. J. Biomed. Semant. Veronika Vincze, György Szarvas, György Móra, Tomoko Ohta, Richárd Farkas
2011	—	`conf`	Ranking by calibrated AdaBoost. Yahoo! Learning to Rank Challenge Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas
2010	—	`conf`	Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer. ECCV Workshops (1) Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele
2010	—	`conf`	Linguistic scope-based and biological event-based speculation and negation annotations in the Genia Event and BioScope corpora. Semantic Mining in Biomedicine Veronika Vincze, György Szarvas, György Móra, Tomoko Ohta, Richárd Farkas
2010	—	`ed.`	Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, CoNLL 2010, Uppsala, Sweden, July 15-16, 2010 CoNLL Shared Task Richárd Farkas, Veronika Vincze, György Szarvas, György Móra, János Csirik
2010	—	`conf`	TUD: Semantic Relatedness for Relation Classification. SemEval@ACL György Szarvas, Iryna Gurevych
2010	—	`conf`	The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text. CoNLL Shared Task Richárd Farkas, Veronika Vincze, György Móra, János Csirik, György Szarvas
2010	A*	`conf`	What helps where - and why? Semantic relatedness for knowledge transfer. CVPR Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele
2009	—	`conf`	Exploring ways beyond the simple supervised learning approach for biological event extraction. BioNLP@HLT-NAACL (Shared Task) György Móra, Richárd Farkas, György Szarvas, Zsolt Molnár
2009	—	`conf`	Prior Art Search Using International Patent Classification Codes and All-Claims-Queries. CLEF (1) Benjamin Herbert, György Szarvas, Iryna Gurevych
2009	—	`conf`	Prior Art Search using International Patent Classification Codes and All-Claims-Queries. CLEF (Working Notes) György Szarvas, Benjamin Herbert, Iryna Gurevych
2009	J	`jnl`	Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts. J. Am. Medical Informatics Assoc. Richárd Farkas, György Szarvas, István Hegedüs, Attila Almási, Veronika Vincze, Róbert Ormándi, Róbert Busa-Fekete
2008	J	`jnl`	Automatic construction of rule-based ICD-9-CM coding systems. BMC Bioinform. Richárd Farkas, György Szarvas
2008	A*	`conf`	Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords. ACL György Szarvas
2008	B	`conf`	Hungarian Word-Sense Disambiguated Corpus. LREC Veronika Vincze, György Szarvas, Attila Almási, Dóra Szauter, Róbert Ormándi, Richárd Farkas, Csaba Hatvani, János Csirik
2008	—	`conf`	The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts. BioNLP György Szarvas, Veronika Vincze, Richárd Farkas, János Csirik
2008	J	`jnl`	The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes. BMC Bioinform. Veronika Vincze, György Szarvas, Richárd Farkas, György Móra, János Csirik
2008	—	`conf`	Web-Based Lemmatisation of Named Entities. TSD Richárd Farkas, Veronika Vincze, István Nagy T., Róbert Ormándi, György Szarvas, Attila Almási
2007	—	`conf`	GYDER: Maxent Metonymy Resolution. SemEval@ACL Richárd Farkas, Eszter Simon, György Szarvas, Dániel Varga
2007	A*	`conf`	Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web. ICDM Richárd Farkas, György Szarvas, Róbert Ormándi
2007	J	`jnl`	Research Paper: State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework. J. Am. Medical Informatics Assoc. György Szarvas, Richárd Farkas, Róbert Busa-Fekete
2006	B	`conf`	A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms. Discovery Science György Szarvas, Richárd Farkas, András Kocsor
2006	B	`conf`	A highly accurate Named Entity corpus for Hungarian. LREC György Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik
2006	J	`jnl`	Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms. Acta Cybern. Richárd Farkas, György Szarvas, András Kocsor
2004	Misc	`conf`	Intelligent Forecast with Dimension Reduction. WSC István Juhos, György Szarvas