Richárd Farkas - ODT Personal data sheet


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Personal data sheet

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VALIDITY EXPIRED
personal data approved: 2022. I. 21.

Personal data

name	Richárd Farkas
name of institution	University of Szeged
doctoral school	SzTE Doctoral School of Computer Science (Supervisor Az oktató valamelyik doktori iskolában egy vagy több doktorandusz vagy doktorjelölt munkáját irányítja. )
the share of work in the different doctoral schools.	SzTE Doctoral School of Computer Science 100%

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

number of students who fulfilled course requirements

students who obtained their degrees:

	Gábor Kőrösi	PhD	2022	IDI2-SzTE
	Viktor Hangya	PhD	2020	IDI2-SzTE
(50%)	István Nagy	PhD	2015	IDI2-SzTE
(50%)	Gábor Berend	PhD	2014	IDI2-SzTE

completed course requirement:

(50%)	Péter Esztelecki	(PhD)	2018/08	IDI2-SzTE
	Zsolt Szántó	(PhD)	2017/08	IDI2-SzTE

present PhD students:

(50%)	Máté Vass	(PhD)	(2028/01)	IDI2-SzTE
	Timur Ishunov	(PhD)	(2027/08)	IDI2-SzTE
	Péter Kardos	(PhD)	(2025/01)	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

2018

Váradi Tamás, Simon Eszter, Sass Bálint, Mittelholcz Iván, Novák Attila, Indig Balázs, Farkas Richárd, Vincze Veronika: E-magyar -- A Digital Language Processing System, In: Nicoletta, Calzolari; Khalid, Choukri; Christopher, Cieri; Thierry, Declerck; Sara, Goggi; Koiti, Hasida; Hitoshi, Isahara; Bente, Maegaard; Joseph, Mariani; Hélène, Mazo; Asuncion, Moreno; Jan, Odijk; Stelios, Piperidis; Takenobu, Tokunaga (szerk.) Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), European Language Resources Association (ELRA) (2018) pp. 1307-1312.
type of document:
number of independent citations: 2
language: English
URL

2018

Vincze Veronika, Hegedűs Klára, Sliz-Nagy Alex, Farkas Richárd: SzegedKoref: A Hungarian Coreference Corpus, In: Nicoletta, Calzolari; Khalid, Choukri; Christopher, Cieri; Thierry, Declerck; Sara, Goggi; Koiti, Hasida; Hitoshi, Isahara; Bente, Maegaard; Joseph, Mariani; Hélène, Mazo; Asuncion, Moreno; Jan, Odijk; Stelios, Piperidis; Takenobu, Tokunaga (szerk.) Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), European Language Resources Association (ELRA) (2018) pp. 401-405.
type of document:
language: English

2018

Gábor Kórösi, Péter Esztelecki, Farkas Richard, Krisztina Tóth: Clickstream-based outcome prediction in short video MOOCs, In: Proceedings of International Conference on Computer, Information and Telecommunication Systems (CITS) 2018, IEEE (2018) p. 1.
type of document:
language: English

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
number of independent citations: 1
language: English
URL

2017

Hangya Viktor, Szántó Zsolt, Farkas Richárd: Latent Syntactic Structure-Based Sentiment Analysis, In: IEEE (szerk.) 2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA), IEEE (2017) 10.1109/CIAPP.2017.8167217
type of document:
language: English
URL

2014

Szántó Z, Farkas R: Special techniques for constituent parsing of morphologically rich languages, In: Gosse, Bouma; Yannick, Parmentier (szerk.) 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014, Association for Computational Linguistics (2014) pp. 135-144.
type of document:
language: English

2013

Fraser A, Schmid H, Farkas R, Wang R, Schütze H: Knowledge sources for constituent parsing of German, a morphologically rich and less-configurational language, COMPUTATIONAL LINGUISTICS 39: (1) pp. 57-85.
type of document:
language: English
URL

2011

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

2010

Farkas R, Vincze V, Móra Gy, Csirik J, Szarvas Gy: The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text, In: Association, for Computational Linguistics (szerk.) Proceeding of the Fourteenth Conference on Computational Natural Language Learning (CoNLL-2010), Association for Computational Linguistics (2010) pp. 1-12.
type of document:
number of independent citations: 123
language: English

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: 75
language: English
URL

Number of independent citations to these publications:

201

Scientometric data

Saját közlemény- és idézőlista

list of publications and citations

number of scientific publications that meet accreditation criteria:

139

number of scientific publications:

139

monographs and professional books:

monographs/books in which chapters/sections were contributed:

scientific publications published abroad that meet the accreditation criteria:

publications not in Hungarian, published in Hungary, meeting the accreditation criteria:

number of independent citations to scientific publications and creative works:

1157

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).