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Viewing Publication 1 - 72 from 72

2023

Are These Descriptions Referring to the Same Entity or Just to Similar Ones?Péter Kardos, Richárd Farkas. ifip12 2023: 387-398 [doi]

Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP PipelinesGyörgy Orosz, Gergo Szabó, Péter Berkecz, Zsolt Szántó, Richárd Farkas. TSD 2023: 58-69 [doi]

2022

WomboCombo results for OAEI 2022Péter Kardos, Zsolt Szántó, Richárd Farkas. semweb 2023: 216-219 [doi]

2021

Deep Learning Models and Interpretations for Multivariate Discrete-Valued Event Sequence PredictionGábor Korösi, Richárd Farkas. icann 2021: 396-406 [doi]

2020

MOOC Performance Prediction by Deep Learning from Raw Clickstream DataGábor Korösi, Richárd Farkas. icacds 2020: 474-485 [doi]

2018

2017

A comparative empirical study on social media sentiment analysis over various genres and languagesViktor Hangya, Richárd Farkas. air, 47(4):485-505, 2017. [doi]

Universal Dependencies and Morphology for Hungarian - and on the Price of UniversalityVeronika Vincze, Richárd Farkas, Zsolt Szántó, Katalin Ilona Simkó. eacl 2017: 356-365 [doi]

2015

Predicting User-specific Temporal Retweet Count Based on Network and Content InformationBálint Daróczy, Róbert Pálovics, Vilmos Wieszner, Richárd Farkas, András A. Benczúr. recsys 2016: 6-13 [doi]

2014

Information Extraction from Hungarian, English and German CVs for a Career PortalRichárd Farkas, András Dobó, Zoltán Kurai, István Miklós, Ágoston Nagy, Veronika Vincze, János Zsibrita. mike 2014: 333-341 [doi]

SZTE-NLP: Aspect level opinion mining exploiting syntactic cuesViktor Hangya, Gábor Berend, István Varga, Richárd Farkas. semeval 2014: 610-614 [doi]

SZTE-NLP: Clinical Text Analysis with Named Entity RecognitionMelinda Katona, Richárd Farkas. semeval 2014: 615-618 [doi]

Dependency parsing with latent refinements of part-of-speech tagsThomas Mueller, Richárd Farkas, Alex Judea, Helmut Schmid, Hinrich Schütze. emnlp 2014: 963-967 [doi]

An Empirical Evaluation of Automatic Conversion from Constituency to Dependency in HungarianKatalin Ilona Simkó, Veronika Vincze, Zsolt Szántó, Richárd Farkas. COLING 2014: 1392-1401 [doi]

Special Techniques for Constituent Parsing of Morphologically Rich LanguagesZsolt Szántó, Richárd Farkas. eacl 2014: 135-144 [doi]

De-identification in natural language processingVeronika Vincze, Richárd Farkas. miproBIS 2014: 1300-1303 [doi]

Szeged Corpus 2.5: Morphological Modifications in a Manually POS-tagged Hungarian CorpusVeronika Vincze, Viktor Varga, Katalin Ilona Simkó, János Zsibrita, Ágoston Nagy, Richárd Farkas, János Csirik. lrec 2014: 1074-1078 [doi]

2013

Extracción de palabras clave de documentos individuales para extracción de palabras clave de documentos múltiplesGábor Berend, Richárd Farkas. cys, 17(2), 2013. [doi]

Keyphrase-Driven Document Visualization ToolGábor Berend, Richárd Farkas. ijcnlp 2013: 17-20 [doi]

LFG-based Features for Noun Number and Article Grammatical ErrorsGábor Berend, Veronika Vincze, Sina Zarrieß, Richárd Farkas. conll 2013: 62-67 [doi]

(Re)ranking Meets Morphosyntax: State-of-the-art Results from the SPMRL 2013 Shared TaskAnders Björkelund, Özlem Çetinoglu, Richárd Farkas, Thomas Mueller, Wolfgang Seeker. acl-spmrl 2013: 135-145 [doi]

Joint Morphological and Syntactic Analysis for Richly Inflected LanguagesBernd Bohnet, Joakim Nivre, Igor Boguslavsky, Richárd Farkas, Filip Ginter, Jan Hajic. tacl, 1:415-428, 2013. [doi]

Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13Nadir Durrani, Alexander M. Fraser, Helmut Schmid, Hassan Sajjad, Richárd Farkas. wmt 2013: 122-127 [doi]

Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational LanguageAlexander Fraser, Helmut Schmid, Richárd Farkas, Renjing Wang, Hinrich Schütze. coling, 39(1):57-85, 2013. [doi]

Filtering and Polarity Detection for Reputation Management on TweetsViktor Hangya, Richárd Farkas. clef 2013: [doi]

Target-oriented opinion mining from tweetsViktor Hangya, Richárd Farkas. coginfocom 2013: 251-254 [doi]

SZTE-NLP: Sentiment Detection on Twitter MessagesViktor Hangya, Gábor Berend, Richárd Farkas. semeval 2013: 549-553 [doi]

Full-coverage Identification of English Light Verb ConstructionsIstván Nagy T., Veronika Vincze, Richárd Farkas. ijcnlp 2013: 329-337 [doi]

Identifying English and Hungarian Light Verb Constructions: A Contrastive ApproachVeronika Vincze, István Nagy T., Richárd Farkas. acl 2013: 255-261 [doi]

Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMTMarion Weller, Max Kisselew, Svetlana Smekalova, Alexander M. Fraser, Helmut Schmid, Nadir Durrani, Hassan Sajjad, Richárd Farkas. wmt 2013: 232-239 [doi]

magyarlanc: A Tool for Morphological and Dependency Parsing of HungarianJános Zsibrita, Veronika Vincze, Richárd Farkas. ranlp 2013: 763-771 [doi]

2012

2011

Learning Local Content Shift Detectors from Document-level InformationRichárd Farkas. emnlp 2011: 759-770 [doi]

Features for Phrase-Structure Reranking from Dependency ParsesRichárd Farkas, Bernd Bohnet, Helmut Schmid. iwpt 2011: 209-214 [doi]

On Positive and Unlabeled Learning for Text ClassificationIstván Nagy T., Richárd Farkas, János Csirik. TSD 2011: 219-226 [doi]

Linguistic scope-based and biological event-based speculation and negation annotations in the BioScope and Genia Event corporaVeronika Vincze, György Szarvas, György Móra, Tomoko Ohta, Richárd Farkas. biomedsem, 2(S-5), 2011. [doi]

2010

SZTERGAK : Feature Engineering for Keyphrase ExtractionGábor Berend, Richárd Farkas. semeval 2010: 186-189 [doi]

The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language TextRichárd Farkas, Veronika Vincze, György Móra, János Csirik, György Szarvas. conll 2010: 1-12 [doi]

Machine learning techniques for applied information extractionRichárd Farkas. PhD thesis, University of Szeged, Hungary, 2010. [doi]

Automatic free-text-tagging of online news archivesRichárd Farkas, Gábor Berend, István Hegedüs, András Kárpáti, Balázs Krich. ecai 2010: 529-534 [doi]

Novel Balanced Feature Representation for Wikipedia Vandalism Detection Task - Lab Report for PAN at CLEF 2010István Hegedüs, Róbert Ormándi, Richárd Farkas, Márk Jelasity. clef 2010: [doi]

Species taxonomy for gene name normalizationGyörgy Móra, Richárd Farkas. smbm 2010: [doi]

Person Attribute Extraction from the Textual Parts of Web PagesIstván Nagy, Richárd Farkas. clef 2010: [doi]

Opinion Mining by Transformation-Based Domain AdaptationRóbert Ormándi, István Hegedüs, Richárd Farkas. TSD 2010: 157-164 [doi]

Linguistic scope-based and biological event-based speculation and negation annotations in the Genia Event and BioScope corporaVeronika Vincze, György Szarvas, György Móra, Tomoko Ohta, Richárd Farkas. smbm 2010: [doi]

2009

Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical TextsRichárd Farkas, György Szarvas, István Hegedüs, Attila Almási, Veronika Vincze, Róbert Ormándi, Róbert Busa-Fekete. jamia, 16(4):601-605, 2009. [doi]

Exploring ways beyond the simple supervised learning approach for biological event extractionGyörgy Móra, Richárd Farkas, György Szarvas, Zsolt Molnár. bionlp 2009: 137-140 [doi]

2008

Web-Based Lemmatisation of Named EntitiesRichárd Farkas, Veronika Vincze, István Nagy, Róbert Ormándi, György Szarvas, Attila Almási. TSD 2008: 53-60 [doi]

The strength of co-authorship in gene name disambiguationRichárd Farkas. bmcbi, 9, 2008. [doi]

Automatic construction of rule-based ICD-9-CM coding systemsRichárd Farkas, György Szarvas. bmcbi, 9(S-3), 2008. [doi]

The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical textsGyörgy Szarvas, Veronika Vincze, Richárd Farkas, János Csirik. bionlp 2008: 38-45 [doi]

Hungarian Word-Sense Disambiguated CorpusVeronika Vincze, György Szarvas, Attila Almási, Dóra Szauter, Róbert Ormándi, Richárd Farkas, Csaba Hatvani, János Csirik. lrec 2008: [doi]

The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopesVeronika Vincze, György Szarvas, Richárd Farkas, György Móra, János Csirik. bmcbi, 9(S-11), 2008. [doi]

2007

GYDER: Maxent Metonymy ResolutionRichárd Farkas, Eszter Simon, György Szarvas, Dániel Varga. semeval 2007: 161-164 [doi]

Improving a State-of-the-Art Named Entity Recognition System Using the World Wide WebRichárd Farkas, György Szarvas, Róbert Ormándi. incdm 2007: 163-172 [doi]

Research Paper: State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning FrameworkGyörgy Szarvas, Richárd Farkas, Róbert Busa-Fekete. jamia, 14(5):574-580, 2007. [doi]

2006

2004

Genetic Algorithms to Improve Mask and Illumination Geometries in Lithographic Imaging SystemsTim Fühner, Andreas Erdmann, Richárd Farkas, Bernd Tollkühn, Gabriella Kókai. evoW 2004: 208-218 [doi]

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