NLPExplorer

SemEval - 2020

Total Papers:- 321

Total Papers accross all years:- 1352

Total Citations :- 0

« 6 7 8 9 10 11 12 13 14 15 16 »

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

Sayanta Paul | Sriparna Saha | Mohammed Hasanuzzaman |

UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information

Wah Meng Lim | Harish Tayyar Madabushi |

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

Lasha Abzianidze |

Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity

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

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

IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?

Jaeyoul Shin | Taeuk Kim | Sang-goo Lee |

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

CN-HIT-MI.T at SemEval-2020 Task 8: Memotion Analysis Based on BERT

Zhen Li | Yaojie Zhang | Bing Xu | Tiejun Zhao |

Sonal.kumari at SemEval-2020 Task 12: Social Media Multilingual Offensive Text Identification and Categorization Using Neural Network Models

Sonal Kumari |

CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts

David Rother | Thomas Haider | Steffen Eger |

FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection

RGCL at SemEval-2020 Task 6: Neural Approaches to DefinitionExtraction

Tharindu Ranasinghe | Alistair Plum | Constantin Orasan | Ruslan Mitkov |

MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets

Qi Wu | Peng Wang | Chenghao Huang |

NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets

Hamada Nayel |

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