Gábor Berend

发表

A Tool for Automatic Extraction of Information from Company Web Sites in the Field of International Servitization

Christian Stadlmann, Stefan Mang, Gábor Berend, 2020 .

ProsperAMnet at the FinSim Task: Detecting hypernyms of financial concepts via measuring the information stored in sparse word representations

Z. Szántó, Gábor Berend, Norbert Kis-Szabó, 2021, FINNLP.

Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word Representations

Gábor Berend, 2023, NAACL.

300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes

Gábor Berend, Peter Földiák, Márton Makrai, 2018, *SEMEVAL.

Exploring the dynamic changes of key concepts of the Hungarian socialist era with natural language processing methods

Gábor Berend, Attila I. Gulyás, Martina Katalin Szabó, 2020, Historical Methods: A Journal of Quantitative and Interdisciplinary History.

Machine Learning-based Extraction of Keyphrases and its Applications in Multiple Domains

Gábor Berend, Gábor Berend, 2014 .

Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning

Barbara Plank, A. Frank, Aykut Erdem, 2022, J. Artif. Intell. Res..

Opinion Expression Mining by Exploiting Keyphrase Extraction

Gábor Berend, Gábor Berend, 2011, IJCNLP.

SZTERGAK : Feature Engineering for Keyphrase Extraction

Gábor Berend, Richárd Farkas, Richárd Farkas, 2010, *SEMEVAL.

Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base

Vanda Balogh, Gábor Berend, Vanda Balogh, 2020, AAAI.

LFG-based Features for Noun Number and Article Grammatical Errors

Veronika Vincze, Gábor Berend, Sina Zarrieß, 2013, CoNLL Shared Task.

SZTE-NLP: Sentiment Detection on Twitter Messages

Gábor Berend, Richárd Farkas, Viktor Hangya, 2013, *SEMEVAL.

Changing the Basis of Contextual Representations with Explicit Semantics

Gábor Berend, Tamás Ficsor, Gábor Berend, 2021, ACL.

Single-Document Keyphrase Extraction for Multi-Document Keyphrase Extraction

Richárd Farkas, Gábor Berend, 2013 .

Opinion mining in Hungarian based on textual and graphical clues

Gábor Berend, Richárd Farkas, Richárd Farkas, 2008 .

Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations

Gábor Berend, Gábor Berend, 2020, EMNLP.

ProsperAMnet at FinCausal 2020, Task 1 & 2: Modeling causality in financial texts using multi-headed transformers

Z. Szántó, Gábor Berend, 2020, FNP.

Mwes and Topic Modelling: Enhancing Machine Learning with Linguistics Decreasing Lexical Data Sparsity in Statistical Syntactic Parsing -experiments with Named Entities Mwu-aware Part-of-speech Tagging with a Crf Model and Lexical Resources Identifying and Analyzing Brazilian Portuguese Complex Pred

Josef van Genabith, Bridget T. McInnes, Mark A. Finlayson, 2022 .

Masked Latent Semantic Modeling: an Efficient Pre-training Alternative to Masked Language Modeling

Gábor Berend, 2023, ACL.

Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling

Gábor Berend, Gábor Berend, 2016, TACL.

USZEGED: Correction Type-sensitive Normalization of English Tweets Using Efficiently Indexed n-gram Statistics

Gábor Berend, Ervin Tasnádi, Gábor Berend, 2015, NUT@IJCNLP.

Keyphrase-Driven Document Visualization Tool

Gábor Berend, Richárd Farkas, Richárd Farkas, 2013, IJCNLP.