---
title: "Gábor Berend · University of Szeged — author profile and papers"
description: "Gábor Berend, University of Szeged: 2 papers on Elamur Research (2011–2015), h-index 12 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/gabor-berend/"
---
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# Gábor Berend

Gábor Berend has 2 papers in our library, in 2011–2015, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/), [Idioms & multiword expressions](https://md.research.elamur.ai/free/en/topics/multiword-expressions/); often with [György Móra](https://md.research.elamur.ai/free/en/authors/gyorgy-mora/), [Veronika Vincze](https://md.research.elamur.ai/free/en/authors/veronika-vincze/).

2 papers in our library · 2011–2015

[OpenAlex](https://openalex.org/A5020987552) · [ORCID](https://orcid.org/0000-0002-3845-4978) · [**h-index 12**](https://openalex.org/authors/A5020987552) · [110 works](https://openalex.org/works?filter=author.id:A5020987552) · [552 citations](https://openalex.org/works?filter=author.id:A5020987552&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/gabor-berend/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/gabor-berend/cited-by/) · [⭐ Paper Stars ranking: #9209](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9209)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=G%C3%A1bor+Berend) · [Semantic Scholar](https://www.semanticscholar.org/search?q=G%C3%A1bor+Berend) · [dblp](https://dblp.org/search?q=G%C3%A1bor+Berend) · [ACL Anthology](https://aclanthology.org/search/?q=G%C3%A1bor+Berend)

## Affiliations

[🎓**University of Szeged** Szeged · Hungary 2008–2026 · 47 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-szeged/) · [🔬**MTA-SZTE Research Group on Artificial Intelligence** Szeged · Hungary 2020–2024 · 6 papers](https://ror.org/0507fk326) · [🔬**Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)** Cologne · Germany 2014–2020 · 6 papers](https://ror.org/04bwf3e34)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Human-Computer Interaction · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/)

🧭 Topics 2 Research subjects and languages the work is about.[English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Idioms & multiword expressions · 1 work](https://md.research.elamur.ai/free/en/topics/multiword-expressions/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[N-gram · 1 work](https://md.research.elamur.ai/free/en/concepts/n-gram/)

## Works by year

### 2010s

[**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/gabor-berend/year/2015/) · [**2011** 1 paper](https://md.research.elamur.ai/free/en/authors/gabor-berend/year/2011/)

## Papers

The most cited first (OpenAlex and our library).

1. **[USZEGED: Correction Type-sensitive Normalization of English Tweets Using Efficiently Indexed n-gram Statistics](https://md.research.elamur.ai/free/en/papers/berend-2015-uszeged-correction-type-sensitive-normalization/)** *(2015 · 16 citations)* The paper describes team USZEGED's system for the W-NUT 2015 shared task on lexical normalisation of English tweets. Standard NLP tools break down on noisy social-media text, so the goal is to map each non-standard token to its in-vocabulary (IV) form. The system has two stages.
2. **[Domain-Dependent Detection of Light Verb Constructions](https://md.research.elamur.ai/free/en/papers/nagy-2011-domain-dependent-detection-light-verb/)** *(2011 · 2 citations)* The paper detects light verb constructions (LVCs), such as "take a decision", and checks whether methods built for one domain carry over to another.

## Co-authors here

2 co-authors with a page, the most papers together first.

- [György Móra](https://md.research.elamur.ai/free/en/authors/gyorgy-mora/)
- [Veronika Vincze](https://md.research.elamur.ai/free/en/authors/veronika-vincze/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/): [RANLP 2011](https://md.research.elamur.ai/free/en/venues/ranlp/2011/)
- [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/): [Workshop on Noisy User-generated Text 2015](https://md.research.elamur.ai/free/en/venues/wnut/2015/)

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/gabor-berend/cited-by/).

Updated 30 October 2026
