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2020 – today
- 2024
[c30]Tamás Ficsor
, Gábor Berend:
Adaptive Greedy Layer Pruning: Iterative Layer Pruning with Subsequent Model Repurposing. NLDB (1) 2024: 271-284- [i3]Gábor Berend:
Improving the Sample Efficiency of Pre-training Language Models. ERCIM News 2024(136) (2024) - 2023
- [c29]Gábor Berend:
Masked Latent Semantic Modeling: an Efficient Pre-training Alternative to Masked Language Modeling. ACL (Findings) 2023: 13949-13962 - [c28]Gábor Berend:
SzegedAI at SemEval-2023 Task 1: Applying Quasi-Symbolic Representations in Visual Word Sense Disambiguation. SemEval@ACL 2023: 1965-1971 - [i2]Gábor Berend:
Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word Representations. CoRR abs/2307.13776 (2023) - 2022
- [j6]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, Ciprian-Octavian Truica, Branislava Sandrih, Sanda Martincic-Ipsic, Gábor Berend, Albert Gatt, Grazina Korvel:
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning. J. Artif. Intell. Res. 73: 1131-1207 (2022) - [c27]Gábor Berend:
Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word Representations. NAACL-HLT 2022: 2459-2471 - 2021
- [c26]Tamás Ficsor, Gábor Berend:
Changing the Basis of Contextual Representations with Explicit Semantics. ACL (student) 2021: 235-247 - [c25]Gábor Berend:
SzegedAI at SemEval-2021 Task 2: Zero-shot Approach for Multilingual and Cross-lingual Word-in-Context Disambiguation. SemEval@ACL/IJCNLP 2021: 169-174 - 2020
- [j5]Gábor Berend:
Efficient algorithm to compute Markov transitional probabilities for a desired PageRank. EPJ Data Sci. 9(1): 23 (2020) - [c24]Vanda Balogh, Gábor Berend, Dimitrios I. Diochnos, György Turán:
Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base. AAAI 2020: 7399-7406 - [c23]Norbert Kis-Szabó, Gábor Berend:
Quasi-Multitask Learning: an Efficient Surrogate for Obtaining Model Ensembles. SustaiNLP@EMNLP 2020: 97-106 - [c22]Gábor Berend:
Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations. EMNLP (1) 2020: 8498-8508 - [c21]Gábor Berend:
Massively Multilingual Sparse Word Representations. ICLR 2020 - [c20]Tamás Ficsor, Gábor Berend:
Interpreting Word Embeddings Using a Distribution Agnostic Approach Employing Hellinger Distance. TDS 2020: 197-205
2010 – 2019
- 2019
- [c19]Bendegúz Jenei, Gábor Berend, László Varga:
Proactive Minimization of Convolutional Networks. IJCNN 2019: 1-7 - 2018
- [j4]Gábor Berend:
ℓ1 Regularization of Word Embeddings for Multi-Word Expression Identification. Acta Cybern. 23(3): 801-813 (2018) - [c18]Gábor Berend, Márton Makrai, Peter Földiák:
300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes. SemEval@NAACL-HLT 2018: 928-934 - 2017
- [j3]Gábor Berend:
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling. Trans. Assoc. Comput. Linguistics 5: 247-261 (2017) - [c17]Gábor Berend:
SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation. SemEval@ACL 2017: 990-994 - 2016
- [j2]Gábor Berend:
Exploiting extra-textual and linguistic information in keyphrase extraction. Nat. Lang. Eng. 22(1): 73-95 (2016) - [i1]Gábor Berend:
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling. CoRR abs/1612.07130 (2016) - 2015
- [c16]Gábor Berend, Ervin Tasnádi:
USZEGED: Correction Type-sensitive Normalization of English Tweets Using Efficiently Indexed n-gram Statistics. NUT@IJCNLP 2015: 120-125 - [c15]Ervin Tasnádi, Gábor Berend:
Supervised Prediction of Social Network Links Using Implicit Sources of Information. WWW (Companion Volume) 2015: 1117-1122 - 2014
- [b1]Gábor Berend:
Machine Learning-based Extraction of Keyphrases and its Applications in Multiple Domains. University of Szeged, Hungary, 2014 - [c14]Viktor Hangya, Gábor Berend, István Varga, Richárd Farkas:
SZTE-NLP: Aspect level opinion mining exploiting syntactic cues. SemEval@COLING 2014: 610-614 - 2013
- [j1]Gábor Berend, Richárd Farkas:
Extracción de palabras clave de documentos individuales para extracción de palabras clave de documentos múltiples. Computación y Sistemas 17(2) (2013) - [c13]Gábor Berend, Veronika Vincze, Sina Zarrieß, Richárd Farkas:
LFG-based Features for Noun Number and Article Grammatical Errors. CoNLL Shared Task 2013: 62-67 - [c12]Gábor Berend, Richárd Farkas:
Keyphrase-Driven Document Visualization Tool. IJCNLP 2013: 17-20 - [c11]Viktor Hangya, Gábor Berend, Richárd Farkas:
SZTE-NLP: Sentiment Detection on Twitter Messages. SemEval@NAACL-HLT 2013: 549-553 - 2012
- [c10]Gábor Berend, Veronika Vincze:
How to Evaluate Opinionated Keyphrase Extraction? WASSA@ACL 2012: 99-103 - 2011
- [c9]Gábor Berend:
Opinion Expression Mining by Exploiting Keyphrase Extraction. IJCNLP 2011: 1162-1170 - [c8]Veronika Vincze, István Nagy T., Gábor Berend:
Detecting Noun Compounds and Light Verb Constructions: a Contrastive Study. MWE@ACL 2011: 116-121 - [c7]István Nagy T., Gábor Berend, György Móra, Veronika Vincze:
Domain-Dependent Detection of Light Verb Constructions. RANLP Student Research Workshop 2011: 1-8 - [c6]Gábor Berend, István Nagy T., György Móra, Veronika Vincze:
Inter-domain Opinion Phrase Extraction Based on Feature Augmentation. RANLP Student Research Workshop 2011: 41-47 - [c5]István Nagy T., Gábor Berend, Veronika Vincze:
Noun Compound and Named Entity Recognition and their Usability in Keyphrase Extraction. RANLP 2011: 162-169 - [c4]Veronika Vincze, István Nagy T., Gábor Berend:
Multiword Expressions and Named Entities in the Wiki50 Corpus. RANLP 2011: 289-295 - [c3]István Nagy T., Veronika Vincze, Gábor Berend:
Domain-Dependent Identification of Multiword Expressions. RANLP 2011: 622-627 - 2010
- [c2]Richárd Farkas, Gábor Berend, István Hegedüs, András Kárpáti, Balázs Krich:
Automatic free-text-tagging of online news archives. ECAI 2010: 529-534 - [c1]Gábor Berend, Richárd Farkas:
SZTERGAK : Feature Engineering for Keyphrase Extraction. SemEval@ACL 2010: 186-189
Coauthor Index
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last updated on 2024-10-04 19:54 CEST by the dblp team
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