NLPExplorer

SemEval - 2020

Total Papers:- 321

Total Papers accross all years:- 1352

Total Citations :- 0

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A Visuospatial Dataset for Naturalistic Verb Learning

Dylan Ebert | Ellie Pavlick |

Funny3 at SemEval-2020 Task 7: Humor Detection of Edited Headlines with LSTM and TFIDF Neural Network System

Xuefeng Luo | Kuan Tang |

LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis

CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights Based Counterfactual Detection

Rajaswa Patil | Veeky Baths |

FII-UAIC at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using CNN

Lavinia Aparaschivei | Andrei Palihovici | Daniela Gîfu |

ALT at SemEval-2020 Task 12: Arabic and English Offensive Language Identification in Social Media

Sabit Hassan | Younes Samih | Hamdy Mubarak | Ahmed Abdelali |

Deep Learning Brasil - NLP at SemEval-2020 Task 9: Sentiment Analysis of Code-Mixed Tweets Using Ensemble of Language Models

Manoel Veríssimo dos Santos Neto | Ayrton Amaral | Nádia Silva | Anderson da Silva Soares |

SemEval-2020 Task 5: Counterfactual Recognition

JUSTMasters at SemEval-2020 Task 3: Multilingual Deep Learning Model to Predict the Effect of Context in Word Similarity

Nour Al-khdour | Mutaz Bni Younes | Malak Abdullah | Mohammad AL-Smadi |

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 |