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personal data approved: 2018. V. 03.
Personal data
Richárd Farkas
name Richárd Farkas
name of institution
doctoral school
SzTE PhD School in Computer Science (Supervisor)
Contact details
E-mail address rfarkasinf.u-szeged.hu
phone number +36 62 546-720
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2010
discipline to which degree belongs computer sciences
institution granting the degree University of Szeged
Employment
2010 - University of Szeged
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 4
number of students who fulfilled course requirements 1
students who obtained their degrees:
(50%) István Nagy PhD 2015  IDI2-SzTE
(50%) Gábor Berend PhD 2014  IDI2-SzTE

completed course requirement, without degree or degree granting in process:
Viktor Hangya (PhD) 2017/08  IDI2-SzTE
Zsolt Szántó (PhD) 2017/08  IDI2-SzTE
present PhD students:
Dániel Kövesi-Nagy (PhD) (2021/08)  IDI2-SzTE
(50%) Gábor Kőrösi (PhD) (2018/08)  IDI2-SzTE
(50%) Péter Esztelecki (PhD) (2018/08)  IDI2-SzTE
  Thesis topic proposals
Research
research area machine learning, natural language processing, computational linguistics
research field in which current research is conducted computer sciences
mathematics and computing
Publications
2017

Viktor Hangya, Richárd Farkas: A comparative empirical study on social media sentiment analysis over various genres and languages, ARTIFICIAL INTELLIGENCE REVIEW 47: (4) pp. 485-505.
type of document: Journal paper/Article
language: English
URL 
2016

Farkas Richárd, Szántó Zsolt, Vincze Veronika, Zsibrita János: Módosított morfológiai egyértelmûsítés és integrált konstituenselemzés a magyarlanc 3.0-ban, In: Szerk.: Tanács Attila, Szerk.: Varga Viktor, Szerk.: Vincze Veronika XII. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2016). Szeged: Szegedi Tudományegyetem, 2016. pp. 68-77.
type of document: Part of book/Proceedings Paper
language: Hungarian
2015

Daróczy B, Pálovics R, Wieszner V, Farkas R, Benczúr AA: Predicting user-specific temporal retweet count, In:Szerk.: Ozgobek O, Szerk.: Yu B, Szerk.: Shabib N, Szerk.: Gulla JA 3rd International Workshop on News Recommendation and Analytics, INRA 2015.Vienna, Ausztria, 2015.09.16-2015.09.20. (1542) Aachen: CEUR-WS.org, pp. 6-13. Kiadvány: (1542) Aachen: CEUR-WS.org, 2015. (CEUR Workshop Proceedings; 1542.)
type of document: Conference paper/Előadás vagy poszter cikke
language: English
Full text 
2014

Thomas Müller, Richárd Farkas, Alex Judea, Helmut Schmid, Hinrich Schütze: Dependency parsing with latent refinements of part-of-speech tags, In: Szerk.: ACL Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Doha, Qatar, October 2014.. Cambridge (MA): ACL, 2014. pp. 963-967.
type of document: Part of book/Proceedings Paper
language: English
Full text 
2014

Szántó Zsolt, Farkas Richárd: Statisztikai konstituenselemzés magyar nyelvre, In: Szerk.: Tanács Attila, Szerk.: Varga Viktor, Szerk.: Vincze Veronika X. Magyar Számítógépes Nyelvészeti Konferencia [Tenth Hungarian Conference on Computational Linguistics]: MSZNY 2014. Szeged: Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2014. pp. 58-66.
type of document: Part of book/Proceedings Paper
language: Hungarian
2012

Farkas Richárd, Vincze Veronika, Schmid Helmut: Dependency Parsing of Hungarian: Baseline Results and Challenges, In: Szerk.: ACL Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012). Cambridge (MA): ACL, 2012. pp. 55-65.
type of document: Part of book/Proceedings Paper
language: English
URL 
2012

Richárd Farkas, Helmut Schmid: Forest Reranking through Subtree Ranking, In: Szerk.: Naoaki Okazaki Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012. Stroudsburg (PA): ACL, 2012. pp. 1038-1047.
type of document: Part of book/Proceedings Paper
language: English
2011

Richárd Farkas: Learning Local Content Shift Detectors from Document-level Information, In: Szerk.: Wanxiang Che Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011. Stroudsburg (PA): ACL, 2011. pp. 759-770.
type of document: Part of book/Proceedings Paper
language: English
2008

Farkas R: The strength of co-authorship in gene name disambiguation, BMC BIOINFORMATICS 9: Paper 69. p.
type of document: Journal paper/Article
number of independent citations: 19
language: English
DOI 
2007

Szarvas GY, Farkas R, Busa-Fekete R: State-of-the-art anonymization of medical records using an iterative machine learning framework, JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION 14: (5) pp. 574-580.
type of document: Journal paper/Article
number of independent citations: 69
language: English
DOI 
Number of independent citations to these publications:88 
Scientometric data
Saját közlemény- és idézőlista list of publications and citations
number of scientific publications that meet accreditation criteria:
111
number of scientific publications:
115
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
scientific publications published abroad that meet the accreditation criteria:
62
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
9
number of independent citations to scientific publications and creative works:
693

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )