NLPExplorer

SMM4H - 2021

Total Papers:- 34

Total Papers accross all years:- 163

Total Citations :- 0

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ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021

BERT based Adverse Drug Effect Tweet Classification

Tanay Kayastha | Pranjal Gupta | Pushpak Bhattacharyya |

BERT Goes Brrr: A Venture Towards the Lesser Error in Classifying Medical Self-Reporters on Twitter

A Joint Training Approach to Tweet Classification and Adverse Effect Extraction and Normalization for SMM4H 2021

Mohab Elkaref | Lamiece Hassan |

Text Augmentation Techniques in Drug Adverse Effect Detection Task

Pavel Blinov |

Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media

Vasile Pais | Maria Mitrofan |

IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets

Varad Pimpalkhute | Prajwal Nakhate | Tausif Diwan |

Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets

Max Fleming | Priyanka Dondeti | Caitlin Dreisbach | Adam Poliak |

OCHADAI at SMM4H-2021 Task 5: Classifying self-reporting tweets on potential cases of COVID-19 by ensembling pre-trained language models

Ying Luo | Lis Pereira | Kobayashi Ichiro |

The ProfNER shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora

View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data

Payam Karisani | Jinho D. Choi | Li Xiong |

Approaching SMM4H with auto-regressive language models and back-translation

Joseph Cornelius | Tilia Ellendorff | Fabio Rinaldi |

Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification

Pedro Ruas | Vitor Andrade | Francisco Couto |

Classification of COVID19 tweets using Machine Learning Approaches

Anupam Mondal | Sainik Mahata | Monalisa Dey | Dipankar Das |