Gábor Iván Berend - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2023. III. 09.

Personal data

name	Gábor Iván Berend
year of birth	1986
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%
accreditation statement submitted to:	University of Szeged

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2014
discipline to which degree belongs	computer sciences
institution granting the degree	Doctoral School of Computer Science, University of Szeged

Employment
2012 -	University of Szeged university professor or researcher

Thesis topic supervisor

number of doctoral students supervised until now

1.5

number of students who fulfilled course requirements

students who obtained their degrees:

present PhD students:

Tamás Ficsor

(PhD)

(2025/01)

IDI2-SzTE

Thesis topic proposals

Research
research area	Natural language processing, computational semantics, representation learning
research field in which current research is conducted	computer sciences mathematics and computing

Publications

2022

Berend Gábor: Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word Representations, In: Marine, Carpuat; Marie-Catherine, de Marneffe; Ivan, Vladimir Meza Ruiz (szerk.) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics (ACL) (2022) pp. 2459-2471.
type of document: Part of book/Proceedings Paper
language: English
URL

2020

Gábor Berend: Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations, In: Bonnie, Webber (szerk.) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (ACL) (2020) pp. 8498-8508.
type of document: Part of book/Proceedings Paper
number of independent citations: 5
language: English
URL

2020

Berend Gábor: Massively Multilingual Sparse Word Representations, In: Alexander, Rush (szerk.) International Conference on Learning Representations, ICLR 2020, (2020) 2582
type of document: Conference paper/Előadás vagy poszter cikke
language: English
URL

2020

Balogh Vanda, Berend Gábor, Dimitrios I. Diochnos, Turán György: Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base, In: Vincent, Conitzer; Fei, Sha (szerk.) Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, AAAI Press (2020) pp. 7399-7406.
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English
URL

2020

Berend Gábor: Efficient algorithm to compute Markov transitional probabilities for a desired PageRank, EPJ DATA SCIENCE 9: 23
type of document: Journal paper/Article
language: English
URL

2017

Berend Gábor: Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling, TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS 5: (1) pp. 247-261.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 8
language: English
URL

2016

Berend Gábor: Exploiting extra-textual and linguistic information in keyphrase extraction, NATURAL LANGUAGE ENGINEERING 22: (1) pp. 73-95.
type of document: Journal paper/Article
number of independent citations: 9
language: English
URL

2011

Vincze Veronika, Nagy T István, Berend Gábor: Multiword Expressions and Named Entities in the Wiki50 Corpus, In: Proceedings of the International Conference Recent Advances in Natural Language Processing 2011, INCOMA Ltd. (2011) pp. 289-295.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 19
language: English

2011

Berend Gábor: Opinion Expression Mining by Exploiting Keyphrase Extraction, In: Min, Zhang; Sudeshria, Sarkar (szerk.) Proceedings of the Fifth International Joint Conference on Natural Language Processing, Asian Federation of Natural Language Processing (2011) pp. 1162-1170.
type of document: Part of book/Proceedings Paper
number of independent citations: 73
language: English
URL

2010

Berend G, Farkas R: SZTERGAK : Feature Engineering for Keyphrase Extraction, In: ACL (szerk.) Proceedings of SemEval-2010, ACL (2010) pp. 186-189.
type of document: Part of book/Proceedings Paper
number of independent citations: 35
language: English
URL

Number of independent citations to these publications:

151

Scientometric data

list of publications and citations

number of scientific publications that meet accreditation criteria:

number of scientific publications:

monographs and professional books:

monographs/books in which chapters/sections were contributed:

art/engineering creative works:

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:

303

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).