NLPExplorer

Gabor Berend

Number of Papers:- 27

Number of Citations:- 25

First ACL Paper:- 2010

Latest ACL Paper:- 2023

Venues:-

FNP

*SEMEVAL

WNUT

TACL

RANLP

WASSA

ACL

FinNLP

SemEval

IJCNLP

sustainlp

CMCL

NAACL

EMNLP

CoNLL

MRL

COLING

Co-Authors:-

Similar Authors:-

SzegedAI at SemEval-2023 Task 1: Applying Quasi-Symbolic Representations in Visual Word Sense Disambiguation SemEval

Gábor Berend |

Codenames as a Game of Co-occurrence Counting ACL CMCL

Réka Cserháti | Istvan Kollath | András Kicsi | Gábor Berend |

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

Gábor Berend |

Identifying the Importance of Content Overlap for Better Cross-lingual Embedding Mappings EMNLP MRL

Réka Cserháti | Gábor Berend |

Changing the Basis of Contextual Representations with Explicit Semantics ACL IJCNLP

Tamás Ficsor | Gábor Berend |

SzegedAI at SemEval-2021 Task 2: Zero-shot Approach for Multilingual and Cross-lingual Word-in-Context Disambiguation ACL IJCNLP SemEval

Gábor Berend |

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

Gábor Berend | Norbert Kis-Szabó | Zsolt Szántó |

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

Zsolt Szántó | Gábor Berend |

Quasi-Multitask Learning: an Efficient Surrogate for Obtaining Model Ensembles EMNLP sustainlp

Norbert Kis-Szabó | Gábor Berend |

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

Gábor Berend |

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

Gábor Berend | Márton Makrai | Péter Földiák |

Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling TACL

Gábor Berend |

SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation *SEMEVAL

Gábor Berend |

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

Gábor Berend | Ervin Tasnádi |

SZTE-NLP: Aspect level opinion mining exploiting syntactic cues *SEMEVAL

Viktor Hangya | Gábor Berend | István Varga | Richárd Farkas |

Keyphrase-Driven Document Visualization Tool IJCNLP

Gábor Berend | Richárd Farkas |

SZTE-NLP: Sentiment Detection on Twitter Messages *SEMEVAL

Viktor Hangya | Gábor Berend | Richárd Farkas |

LFG-based Features for Noun Number and Article Grammatical Errors CoNLL WS

Gábor Berend | Veronika Vincze | Sina Zarrieß | Richárd Farkas |

How to Evaluate Opinionated Keyphrase Extraction? WASSA WS

Gábor Berend | Veronika Vincze |

Opinion Expression Mining by Exploiting Keyphrase Extraction IJCNLP

Gábor Berend |

Noun Compound and Named Entity Recognition and their Usability in Keyphrase Extraction RANLP

István Nagy T. | Gábor Berend | Veronika Vincze |

Multiword Expressions and Named Entities in the Wiki50 Corpus RANLP

Veronika Vincze | István Nagy T. | Gábor Berend |

Domain-Dependent Identification of Multiword Expressions RANLP

István Nagy T. | Veronika Vincze | Gábor Berend |

Domain-Dependent Detection of Light Verb Constructions RANLP

István T. Nagy | Gábor Berend | György Móra | Veronika Vincze |

Inter-domain Opinion Phrase Extraction Based on Feature Augmentation RANLP

Gábor Berend | István T. Nagy | György Móra | Veronika Vincze |

Detecting Noun Compounds and Light Verb Constructions: a Contrastive Study WS

Veronika Vincze | István Nagy T. | Gábor Berend |

SZTERGAK : Feature Engineering for Keyphrase Extraction *SEMEVAL

Gábor Berend | Richárd Farkas |