Automatic free-text-tagging of online news archives. - Richárd Farkas; Gábor Berend; István Hegedüs; András Kárpáti; Balázs Krich (ECAI, 2010)

SZTERGAK : Feature Engineering for Keyphrase Extraction. - Gábor Berend; Richárd Farkas (SemEval@ACL, 2010)

Opinion Expression Mining by Exploiting Keyphrase Extraction. - Gábor Berend (IJCNLP, 2011)

Detecting Noun Compounds and Light Verb Constructions: a Contrastive Study. - Veronika Vincze; István Nagy T.; Gábor Berend (MWE@ACL, 2011)

Inter-domain Opinion Phrase Extraction Based on Feature Augmentation. - Gábor Berend; István Nagy T.; György Móra; Veronika Vincze (RANLP Student Research Workshop, 2011)

Domain-Dependent Detection of Light Verb Constructions. - István Nagy T.; Gábor Berend; György Móra; Veronika Vincze (RANLP Student Research Workshop, 2011)

Noun Compound and Named Entity Recognition and their Usability in Keyphrase Extraction. - István Nagy T.; Gábor Berend; Veronika Vincze (RANLP, 2011)

Domain-Dependent Identification of Multiword Expressions. - István Nagy T.; Veronika Vincze; Gábor Berend (RANLP, 2011)

Multiword Expressions and Named Entities in the Wiki50 Corpus. - Veronika Vincze; István Nagy T.; Gábor Berend (RANLP, 2011)

How to Evaluate Opinionated Keyphrase Extraction? - Gábor Berend; Veronika Vincze (WASSA@ACL, 2012)

LFG-based Features for Noun Number and Article Grammatical Errors. - Gábor Berend; Veronika Vincze; Sina Zarrieß; Richárd Farkas (CoNLL Shared Task, 2013)

Keyphrase-Driven Document Visualization Tool. - Gábor Berend; Richárd Farkas (IJCNLP, 2013)

SZTE-NLP: Sentiment Detection on Twitter Messages. - Viktor Hangya; Gábor Berend; Richárd Farkas (SemEval@NAACL-HLT, 2013)

Extracción de palabras clave de documentos individuales para extracción de palabras clave de documentos múltiples. - Gábor Berend; Richárd Farkas (Computación y Sistemas, 2013)

SZTE-NLP: Aspect level opinion mining exploiting syntactic cues. - Viktor Hangya; Gábor Berend; István Varga; Richárd Farkas (SemEval@COLING, 2014)

Machine Learning-based Extraction of Keyphrases and its Applications in Multiple Domains - Gábor Berend (2014)

USZEGED: Correction Type-sensitive Normalization of English Tweets Using Efficiently Indexed n-gram Statistics. - Gábor Berend; Ervin Tasnádi (NUT@IJCNLP, 2015)

Supervised Prediction of Social Network Links Using Implicit Sources of Information. - Ervin Tasnádi; Gábor Berend (WWW (Companion Volume), 2015)

Exploiting extra-textual and linguistic information in keyphrase extraction. - Gábor Berend (Nat. Lang. Eng., 2016)

SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation. - Gábor Berend (SemEval@ACL, 2017)

Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling. - Gábor Berend (Trans. Assoc. Comput. Linguistics, 2017)

300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes. - Gábor Berend; Márton Makrai; Peter Földiák (SemEval@NAACL-HLT, 2018)

ℓ1 Regularization of Word Embeddings for Multi-Word Expression Identification. - Gábor Berend (Acta Cybern., 2018)

Proactive Minimization of Convolutional Networks. - Bendegúz Jenei; Gábor Berend; László Varga 001 (IJCNN, 2019)

Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base. - Vanda Balogh; Gábor Berend; Dimitrios I. Diochnos; György Turán (AAAI, 2020)

Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations. - Gábor Berend (EMNLP (1), 2020)

Quasi-Multitask Learning: an Efficient Surrogate for Obtaining Model Ensembles. - Norbert Kis-Szabó; Gábor Berend (SustaiNLP@EMNLP, 2020)

Massively Multilingual Sparse Word Representations. - Gábor Berend (ICLR, 2020)

Interpreting Word Embeddings Using a Distribution Agnostic Approach Employing Hellinger Distance. - Tamás Ficsor; Gábor Berend (TDS, 2020)

Efficient algorithm to compute Markov transitional probabilities for a desired PageRank. - Gábor Berend (EPJ Data Sci., 2020)

Changing the Basis of Contextual Representations with Explicit Semantics. - Tamás Ficsor; Gábor Berend (ACL (student), 2021)

SzegedAI at SemEval-2021 Task 2: Zero-shot Approach for Multilingual and Cross-lingual Word-in-Context Disambiguation. - Gábor Berend (SemEval@ACL/IJCNLP, 2021)

Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word Representations. - Gábor Berend (NAACL-HLT, 2022)

Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning. - Erkut Erdem; Menekse Kuyu; Semih Yagcioglu; Anette Frank; Letitia Parcalabescu; Barbara Plank; Andrii Babii; Oleksii Turuta; Aykut Erdem; Iacer Calixto; Elena Lloret; Elena Simona Apostol; et al. (J. Artif. Intell. Res., 2022)

Masked Latent Semantic Modeling: an Efficient Pre-training Alternative to Masked Language Modeling. - Gábor Berend (ACL (Findings), 2023)

SzegedAI at SemEval-2023 Task 1: Applying Quasi-Symbolic Representations in Visual Word Sense Disambiguation. - Gábor Berend (SemEval@ACL, 2023)

Adaptive Greedy Layer Pruning: Iterative Layer Pruning with Subsequent Model Repurposing. - Tamás Ficsor; Gábor Berend (NLDB (1), 2024)

Improving the Sample Efficiency of Pre-training Language Models. - Gábor Berend (ERCIM News, 2024)

SzegedAI at GenAI Detection Task 1: Beyond Binary - Soft-Voting Multi-Class Classification for Binary Machine-Generated Text Detection Across Diverse Language Models. - Mihaly Kiss; Gábor Berend (COLING Workshops, 2025)