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Richárd Farkas
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2020 – today
- 2023
- [c56]Péter Kardos, Richárd Farkas:
Are These Descriptions Referring to the Same Entity or Just to Similar Ones? AIAI (2) 2023: 387-398 - [c55]György Orosz, Gergo Szabó, Péter Berkecz, Zsolt Szántó, Richárd Farkas:
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines. TSD 2023: 58-69 - [i3]Péter Berkecz, György Orosz, Zsolt Szántó, Gergo Szabó, Richárd Farkas:
Hybrid lemmatization in HuSpaCy. CoRR abs/2306.07636 (2023) - [i2]György Orosz, Gergo Szabó, Péter Berkecz, Zsolt Szántó, Richárd Farkas:
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines. CoRR abs/2308.12635 (2023) - 2022
- [c54]Péter Kardos, Zsolt Szántó, Richárd Farkas:
WomboCombo results for OAEI 2022. OM@ISWC 2022: 216-219 - [i1]György Orosz, Zsolt Szántó, Péter Berkecz, Gergo Szabó, Richárd Farkas:
HuSpaCy: an industrial-strength Hungarian natural language processing toolkit. CoRR abs/2201.01956 (2022) - 2021
- [c53]Gábor Korösi
, Richárd Farkas
Deep Learning Models and Interpretations for Multivariate Discrete-Valued Event Sequence Prediction. ICANN (4) 2021: 396-406 - 2020
- [c52]Gábor Korösi
MOOC Performance Prediction by Deep Learning from Raw Clickstream Data. ICACDS 2020: 474-485
2010 – 2019
- 2018
- [c51]Gábor Korösi
Clickstream-based outcome prediction in short video MOOCs. CITS 2018: 1-5 - [c50]Tamás Váradi, Eszter Simon, Bálint Sass, Iván Mittelholcz, Attila Novák, Balázs Indig, Richárd Farkas, Veronika Vincze:
E-magyar - A Digital Language Processing System. LREC 2018 - [c49]Veronika Vincze, Klára Hegedüs, Alex Sliz-Nagy, Richárd Farkas:
SzegedKoref: A Hungarian Coreference Corpus. LREC 2018 - 2017
- [j14]Viktor Hangya
A comparative empirical study on social media sentiment analysis over various genres and languages. Artif. Intell. Rev. 47(4): 485-505 (2017) - [c48]Veronika Vincze, Katalin Ilona Simkó, Zsolt Szántó, Richárd Farkas
Universal Dependencies and Morphology for Hungarian - and on the Price of Universality. EACL (1) 2017: 356-365 - 2015
- [c47]Bálint Daróczy, Róbert Pálovics, Vilmos Wieszner, Richárd Farkas, András A. Benczúr:
Predicting User-specific Temporal Retweet Count Based on Network and Content Information. INRA@RecSys 2015: 6-13 - 2014
- [c46]Katalin Ilona Simkó, Veronika Vincze, Zsolt Szántó, Richárd Farkas:
An Empirical Evaluation of Automatic Conversion from Constituency to Dependency in Hungarian. COLING 2014: 1392-1401 - [c45]Zsolt Szántó, Richárd Farkas
Special Techniques for Constituent Parsing of Morphologically Rich Languages. EACL 2014: 135-144 - [c44]Thomas Müller
Dependency parsing with latent refinements of part-of-speech tags. EMNLP 2014: 963-967 - [c43]Veronika Vincze, Viktor Varga, Katalin Ilona Simkó, János Zsibrita, Ágoston Nagy, Richárd Farkas, János Csirik:
Szeged Corpus 2.5: Morphological Modifications in a Manually POS-tagged Hungarian Corpus. LREC 2014: 1074-1078 - [c42]Richárd Farkas
Information Extraction from Hungarian, English and German CVs for a Career Portal. MIKE 2014: 333-341 - [c41]Veronika Vincze, Richárd Farkas
De-identification in natural language processing. MIPRO 2014: 1300-1303 - [c40]Viktor Hangya, Gábor Berend, István Varga, Richárd Farkas:
SZTE-NLP: Aspect level opinion mining exploiting syntactic cues. SemEval@COLING 2014: 610-614 - [c39]Melinda Katona, Richárd Farkas:
SZTE-NLP: Clinical Text Analysis with Named Entity Recognition. SemEval@COLING 2014: 615-618 - 2013
- [j13]Alexander M. Fraser, Helmut Schmid, Richárd Farkas
Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language. Comput. Linguistics 39(1): 57-85 (2013) - [j12]Gábor Berend, Richárd Farkas:
Extracción de palabras clave de documentos individuales para extracción de palabras clave de documentos múltiples. Computación y Sistemas 17(2) (2013) - [j11]Bernd Bohnet, Joakim Nivre, Igor Boguslavsky, Richárd Farkas, Filip Ginter, Jan Hajic:
Joint Morphological and Syntactic Analysis for Richly Inflected Languages. Trans. Assoc. Comput. Linguistics 1: 415-428 (2013) - [c38]Veronika Vincze, István Nagy T., Richárd Farkas:
Identifying English and Hungarian Light Verb Constructions: A Contrastive Approach. ACL (2) 2013: 255-261 - [c37]Anders Björkelund, Özlem Çetinoglu, Richárd Farkas, Thomas Mueller, Wolfgang Seeker:
(Re)ranking Meets Morphosyntax: State-of-the-art Results from the SPMRL 2013 Shared Task. SPMRL@EMNLP 2013: 135-145 - [c36]Djamé Seddah, Reut Tsarfaty, Sandra Kübler, Marie Candito, Jinho D. Choi, Richárd Farkas, Jennifer Foster, Iakes Goenaga, Koldo Gojenola Galletebeitia, Yoav Goldberg, Spence Green, Nizar Habash, Marco Kuhlmann, Wolfgang Maier, Joakim Nivre, Adam Przepiórkowski, Ryan Roth, Wolfgang Seeker, Yannick Versley, Veronika Vincze, Marcin Wolinski, Alina Wróblewska, Éric Villemonte de la Clergerie:
Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages. SPMRL@EMNLP 2013: 146-182 - [c35]Viktor Hangya, Richárd Farkas:
Filtering and Polarity Detection for Reputation Management on Tweets. CLEF (Working Notes) 2013 - [c34]Viktor Hangya, Richárd Farkas
Target-oriented opinion mining from tweets. CogInfoCom 2013: 251-254 - [c33]Gábor Berend, Veronika Vincze, Sina Zarrieß, Richárd Farkas:
LFG-based Features for Noun Number and Article Grammatical Errors. CoNLL Shared Task 2013: 62-67 - [c32]Gábor Berend, Richárd Farkas:
Keyphrase-Driven Document Visualization Tool. IJCNLP 2013: 17-20 - [c31]István Nagy T., Veronika Vincze, Richárd Farkas:
Full-coverage Identification of English Light Verb Constructions. IJCNLP 2013: 329-337 - [c30]János Zsibrita, Veronika Vincze, Richárd Farkas:
magyarlanc: A Tool for Morphological and Dependency Parsing of Hungarian. RANLP 2013: 763-771 - [c29]Viktor Hangya, Gábor Berend, Richárd Farkas:
SZTE-NLP: Sentiment Detection on Twitter Messages. SemEval@NAACL-HLT 2013: 549-553 - [c28]Nadir Durrani, Alexander M. Fraser, Helmut Schmid, Hassan Sajjad, Richárd Farkas:
Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13. WMT@ACL 2013: 122-127 - [c27]Marion Weller, Max Kisselew, Svetlana Smekalova, Alexander M. Fraser, Helmut Schmid, Nadir Durrani, Hassan Sajjad, Richárd Farkas:
Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMT. WMT@ACL 2013: 232-239 - 2012
- [j10]György Szarvas, Veronika Vincze, Richárd Farkas
Cross-Genre and Cross-Domain Detection of Semantic Uncertainty. Comput. Linguistics 38(2): 335-367 (2012) - [c26]Richárd Farkas, Bernd Bohnet:
Stacking of Dependency and Phrase Structure Parsers. COLING 2012: 849-866 - [c25]Wolfgang Seeker, Richárd Farkas, Bernd Bohnet, Helmut Schmid, Jonas Kuhn:
Data-driven Dependency Parsing With Empty Heads. COLING (Posters) 2012: 1081-1090 - [c24]Anders Björkelund, Richárd Farkas:
Data-driven Multilingual Coreference Resolution using Resolver Stacking. EMNLP-CoNLL Shared Task 2012: 49-55 - [c23]Richárd Farkas, Veronika Vincze, Helmut Schmid:
Dependency Parsing of Hungarian: Baseline Results and Challenges. EACL 2012: 55-65 - [c22]Richárd Farkas, Helmut Schmid:
Forest Reranking through Subtree Ranking. EMNLP-CoNLL 2012: 1038-1047 - 2011
- [j9]Dietrich Rebholz-Schuhmann, Antonio Jimeno-Yepes, Chen Li, Senay Kafkas, Ian Lewin, Ning Kang, Peter T. Corbett, David Milward, Ekaterina Buyko, Elena Beisswanger, Kerstin Hornbostel, Alexandre Kouznetsov, René Witte, Jonas B. Laurila, Christopher J. O. Baker, Cheng-Ju Kuo, Simon Clematide, Fabio Rinaldi, Richárd Farkas, György Móra, Kazuo Hara, Laura Inés Furlong, Michael Rautschka, Mariana L. Neves, Alberto D. Pascual-Montano, Qi Wei, Nigel Collier, Md. Faisal Mahbub Chowdhury, Alberto Lavelli, Rafael Berlanga Llavori, Roser Morante, Vincent Van Asch, Walter Daelemans, José Luís Marina, Erik M. van Mulligen, Jan A. Kors, Udo Hahn:
Assessment of NER solutions against the first and second CALBC Silver Standard Corpus. J. Biomed. Semant. 2(S-5): S11 (2011) - [j8]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): S8 (2011) - [c21]Richárd Farkas:
Learning Local Content Shift Detectors from Document-level Information. EMNLP 2011: 759-770 - [c20]Richárd Farkas, Bernd Bohnet, Helmut Schmid:
Features for Phrase-Structure Reranking from Dependency Parses. IWPT 2011: 209-214 - [c19]István Nagy T., Richárd Farkas
On Positive and Unlabeled Learning for Text Classification. TSD 2011: 219-226 - 2010
- [b1]Richárd Farkas:
Machine learning techniques for applied information extraction. University of Szeged, Hungary, 2010 - [c18]István Hegedüs, Róbert Ormándi, Richárd Farkas, Márk Jelasity:
Novel Balanced Feature Representation for Wikipedia Vandalism Detection Task - Lab Report for PAN at CLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c17]István Nagy T., Richárd Farkas:
Person Attribute Extraction from the Textual Parts of Web Pages. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c16]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: 1-12 - [c15]Richárd Farkas
Automatic free-text-tagging of online news archives. ECAI 2010: 529-534 - [c14]Gábor Berend, Richárd Farkas:
SZTERGAK : Feature Engineering for Keyphrase Extraction. SemEval@ACL 2010: 186-189 - [c13]György Móra, Richárd Farkas:
Species taxonomy for gene name normalization. Semantic Mining in Biomedicine 2010 - [c12]Dietrich Rebholz-Schuhmann, Antonio Jimeno-Yepes, Chen Li, Senay Kafkas, Ian Lewin, Ning Kang, Peter T. Corbett, David Milward, Ekaterina Buyko, Elena Beisswanger, Kerstin Hornbostel, Alexandre Kouznetsov, René Witte, Jonas B. Laurila, Christopher J. O. Baker, Cheng-Ju Kuo, Simon Clematide, Fabio Rinaldi, Richárd Farkas, György Móra, Kazuo Hara, Laura Inés Furlong, Michael Rautschka, Mariana L. Neves, Alberto D. Pascual-Montano, Qi Wei, Nigel Collier, Md. Faisal Mahbub Chowdhury, Alberto Lavelli, Rafael Berlanga Llavori, Roser Morante, Vincent Van Asch, Walter Daelemans, José Luís Marina, Erik M. van Mulligen, Jan A. Kors, Udo Hahn:
Assessment of NER solutions against the first and second CALBC silver standard corpus. Semantic Mining in Biomedicine 2010 - [c11]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 - [c10]Róbert Ormándi, István Hegedüs, Richárd Farkas
Opinion Mining by Transformation-Based Domain Adaptation. TSD 2010: 157-164 - [e1]Richárd Farkas, Veronika Vincze, György Szarvas, György Móra, János Csirik:
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, CoNLL 2010, Uppsala, Sweden, July 15-16, 2010. ACL 2010, ISBN 978-1-932432-84-8 [contents]
2000 – 2009
- 2009
- [j7]Richárd Farkas
Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts. J. Am. Medical Informatics Assoc. 16(4): 601-605 (2009) - [c9]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: 137-140 - 2008
- [j6]Krisztina Tóth, Richárd Farkas, András Kocsor:
Sentence Alignment of Hungarian-English Parallel Corpora Using a Hybrid Algorithm. Acta Cybern. 18(3): 463-478 (2008) - [j5]Richárd Farkas
The strength of co-authorship in gene name disambiguation. BMC Bioinform. 9 (2008) - [j4]Veronika Vincze, György Szarvas, Richárd Farkas
The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes. BMC Bioinform. 9(S-11) (2008) - [j3]Richárd Farkas
Automatic construction of rule-based ICD-9-CM coding systems. BMC Bioinform. 9(S-3) (2008) - [c8]György Szarvas, Veronika Vincze, Richárd Farkas, János Csirik:
The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts. BioNLP 2008: 38-45 - [c7]Veronika Vincze, György Szarvas, Attila Almási, Dóra Szauter, Róbert Ormándi, Richárd Farkas, Csaba Hatvani, János Csirik:
Hungarian Word-Sense Disambiguated Corpus. LREC 2008 - [c6]Richárd Farkas
Web-Based Lemmatisation of Named Entities. TSD 2008: 53-60 - 2007
- [j2]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): 574-580 (2007) - [c5]Richárd Farkas
Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web. ICDM 2007: 163-172 - [c4]Richárd Farkas, Eszter Simon, György Szarvas, Dániel Varga:
GYDER: Maxent Metonymy Resolution. SemEval@ACL 2007: 161-164 - 2006
- [j1]Richárd Farkas, György Szarvas, András Kocsor:
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms. Acta Cybern. 17(3): 633-646 (2006) - [c3]György Szarvas, Richárd Farkas
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms. Discovery Science 2006: 267-278 - [c2]György Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik:
A highly accurate Named Entity corpus for Hungarian. LREC 2006: 1957-1960 - 2004
- [c1]Tim Fühner, Andreas Erdmann
Genetic Algorithms to Improve Mask and Illumination Geometries in Lithographic Imaging Systems. EvoWorkshops 2004: 208-218
Coauthor Index
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last updated on 2024-06-20 20:42 CEST by the dblp team
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