NLPExplorer

SemEval - 2020

Total Papers:- 321

Total Papers accross all years:- 1352

Total Citations :- 0

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evision PDF of 'Natural Language Inference with Mixed Effects

William Gantt | Benjamin Kane | Aaron Steven White |

HPCC-YNU at SemEval-2020 Task 9: A Bilingual Vector Gating Mechanism for Sentiment Analysis of Code-Mixed Text

Jun Kong | Jin Wang | Xuejie Zhang |

Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning

Ekansh Verma | Vinodh Motupalli | Souradip Chakraborty |

SemEval-2020 Task 4: Commonsense Validation and Explanation

Amsqr at SemEval-2020 Task 12: Offensive Language Detection Using Neural Networks and Anti-adversarial Features

Alejandro Mosquera |

Gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data

Sunil Gundapu | Radhika Mamidi |

Learning Negation Scope from Syntactic Structure

Nick McKenna | Mark Steedman |

LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines

UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses

Eleri Sarsfield | Harish Tayyar Madabushi |

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning

SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment

Shike Wang | Yuchen Fan | Xiangying Luo | Dong Yu |

Lijunyi at SemEval-2020 Task 4: An ALBERT Model Based Maximum Ensemble with Different Training Sizes and Depths for Commonsense Validation and Explanation

Junyi Li | Bin Wang | Haiyan Ding |

KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media

Ali Safaya | Moutasem Abdullatif | Deniz Yuret |

Will_go at SemEval-2020 Task 9: An Accurate Approach for Sentiment Analysis on Hindi-English Tweets Based on Bert and Pesudo Label Strategy

Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition