NLPExplorer

SMM4H - 2020

Total Papers:- 33

Total Papers accross all years:- 163

Total Citations :- 0

1 2 3 »

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

Saichethan Reddy |

Ensemble BERT for Classifying Medication-mentioning Tweets

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

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

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

Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task

Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa

Katikapalli Subramanyam Kalyan | Sivanesan Sangeetha |

FBK@SMM4H2020: RoBERTa for Detecting Medications on Twitter

Silvia Casola | Alberto Lavelli |

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

Yandrapati Prakash Babu | Rajagopal Eswari |

Conversation-Aware Filtering of Online Patient Forum Messages

Anne Dirkson | Suzan Verberne | Wessel Kraaij |

ISLab System for SMM4H Shared Task 2020

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

Zulfat Miftahutdinov | Andrey Sakhovskiy | Elena Tutubalina |

COVID-19 Twitter Monitor: Aggregating and Visualizing COVID-19 Related Trends in Social Media

Joseph Cornelius | Tilia Ellendorff | Lenz Furrer | Fabio Rinaldi |

Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees

Adverse Drug Reaction Detection in Twitter Using RoBERTa and Rules

Sedigh Khademi | Pari Delirhaghighi | Frada Burstein |

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