NLPExplorer

SemEval - 2020

Total Papers:- 321

Total Papers accross all years:- 1352

Total Citations :- 0

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MLEngineer at SemEval-2020 Task 7: BERT-Flair Based Humor Detection Model (BFHumor)

Fara Shatnawi | Malak Abdullah | Mahmoud Hammad |

INGEOTEC at SemEval-2020 Task 12: Multilingual Classification of Offensive Text

Sabino Miranda-Jiménez | Eric S. Tellez | Mario Graff | Daniela Moctezuma |

Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification

Shelan Jeawak | Luis Espinosa-Anke | Steven Schockaert |

KDELAB at SemEval-2020 Task 12: A System for Estimating Aggression of Tweets Using Two Layers of BERT Features

Keisuke Hanahata | Masaki Aono |

Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora

Ali Hakimi Parizi | Paul Cook |

CyberTronics at SemEval-2020 Task 12: Multilingual Offensive Language Identification over Social Media

Sayanta Paul | Sriparna Saha | Mohammed Hasanuzzaman |

Ferryman at SemEval-2020 Task 12: BERT-Based Model with Advanced Improvement Methods for Multilingual Offensive Language Identification

newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations for Propaganda Classification

Paramansh Singh | Siraj Sandhu | Subham Kumar | Ashutosh Modi |

SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models

Flor Miriam Plaza del Arco | M. Dolores Molina González | Alfonso Ureña-López | Maite Martin |

Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference

Lasha Abzianidze |

Masked Reasoner at SemEval-2020 Task 4: Fine-Tuning RoBERTa for Commonsense Reasoning

Daming Lu |

BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs

Ádám Kovács | Kinga Gémes | Andras Kornai | Gábor Recski |

TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings

Anna Karnysheva | Pia Schwarz |

XSYSIGMA at SemEval-2020 Task 7: Method for Predicting Headlines’ Humor Based on Auxiliary Sentences with EI-BERT