NLPExplorer

NLP4IF - 2021

Total Papers:- 22

Total Papers accross all years:- 32

Total Citations :- 0

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R00 at NLP4IF-2021 Fighting COVID-19 Infodemic with Transformers and More Transformers

Ahmed Al-Qarqaz | Dia Abujaber | Malak Abdullah Abdullah |

Generalisability of Topic Models in Cross-corpora Abusive Language Detection

Tulika Bose | Irina Illina | Dominique Fohr |

Improving Hate Speech Type and Target Detection with Hateful Metaphor Features

Jens Lemmens | Ilia Markov | Walter Daelemans |

Identifying Automatically Generated Headlines using Transformers

Antonis Maronikolakis | Hinrich Schütze | Mark Stevenson |

Understanding the Impact of Evidence-Aware Sentence Selection for Fact Checking

Giannis Bekoulis | Christina Papagiannopoulou | Nikos Deligiannis |

Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble

Georgios Tziafas | Konstantinos Kogkalidis | Tommaso Caselli |

MEAN: Multi-head Entity Aware Attention Networkfor Political Perspective Detection in News Media

Chang Li | Dan Goldwasser |

Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda

Anna Feldman | Giovanni Da San Martino | Chris Leberknight | Preslav Nakov |

Improving Cross-Domain Hate Speech Detection by Reducing the False Positive Rate

Ilia Markov | Walter Daelemans |

DamascusTeam at NLP4IF2021: Fighting the Arabic COVID-19 Infodemic on Twitter Using AraBERT

Ahmad Hussein | Nada Ghneim | Ammar Joukhadar |

Classification of Censored Tweets in Chinese Language using XLNet

Shaikh Sahil Ahmed | Anand Kumar M. |

Detecting Multilingual COVID-19 Misinformation on Social Media via Contextualized Embeddings

Subhadarshi Panda | Sarah Ita Levitan |

Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection

Multi Output Learning using Task Wise Attention for Predicting Binary Properties of Tweets : Shared-Task-On-Fighting the COVID-19 Infodemic

Ayush Suhane | Shreyas Kowshik |