NLPExplorer

SMM4H - 2020

Total Papers:- 33

Total Papers accross all years:- 163

Total Citations :- 0

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BERT Implementation for Detecting Adverse Drug Effects Mentions in Russian

Andrey Gusev | Anna Kuznetsova | Anna Polyanskaya | Egor Yatsishin |

KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions

Zulfat Miftahutdinov | Andrey Sakhovskiy | Elena Tutubalina |

Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020

Ensemble BERT for Classifying Medication-mentioning Tweets

Huong Dang | Kahyun Lee | Sam Henry | Özlem Uzuner |

Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter

Oguzhan Gencoglu |

Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees

Sentence Contextual Encoder with BERT and BiLSTM for Automatic Classification with Imbalanced Medication Tweets

Olanrewaju Tahir Aduragba | Jialin Yu | Gautham Senthilnathan | Alexandra Crsitea |

FBK@SMM4H2020: RoBERTa for Detecting Medications on Twitter

Silvia Casola | Alberto Lavelli |

Sentence Classification with Imbalanced Data for Health Applications

Farhana Ferdousi Liza |

LITL at SMM4H: An Old-school Feature-based Classifier for Identifying Adverse Effects in Tweets

Detecting Tweets Reporting Birth Defect Pregnancy Outcome Using Two-View CNN RNN Based Architecture

Saichethan Reddy |

Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum

Luis Moßburger | Felix Wende | Kay Brinkmann | Thomas Schmidt |

Identification of Medication Tweets Using Domain-specific Pre-trained Language Models

Yandrapati Prakash Babu | Rajagopal Eswari |