NLPExplorer

SMM4H - 2022

Total Papers:- 55

Total Papers accross all years:- 163

Total Citations :- 0

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dezzai@SMM4H’22: Tasks 5 & 10 - Hybrid models everywhere

The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts

Sourabh Zanwar | Daniel Wiechmann | Yu Qiao | Elma Kerz |

MaNLP@SMM4H’22: BERT for Classification of Twitter Posts

Keshav Kapur | Rajitha Harikrishnan | Sanjay Singh |

mattica@SMM4H’22: Leveraging sentiment for stance & premise joint learning

Oscar Lithgow-Serrano | Joseph Cornelius | Fabio Rinaldi | Ljiljana Dolamic |

Yet@SMM4H’22: Improved BERT-based classification models with Rdrop and PolyLoss

Yan Zhuang | Yanru Zhang |

AIR-JPMC@SMM4H’22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling

CHAAI@SMM4H’22: RoBERTa, GPT-2 and Sampling - An interesting concoction

PLN CMM at SocialDisNER: Improving Detection of Disease Mentions in Tweets by Using Document-Level Features

HaleLab_NITK@SMM4H’22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media Data

Reshma Unnikrishnan | Sowmya Kamath S | Ananthanarayana V. S. |

CASIA@SMM4H’22: A Uniform Health Information Mining System for Multilingual Social Media Texts

BioInfo@UAVR@SMM4H’22: Classification and Extraction of Adverse Event mentions in Tweets using Transformer Models

Edgar Morais | José Luis Oliveira | Alina Trifan | Olga Fajarda |

KUL@SMM4H’22: Template Augmented Adaptive Pre-training for Tweet Classification

Sumam Francis | Marie-Francine Moens |

CLaCLab at SocialDisNER: Using Medical Gazetteers for Named-Entity Recognition of Disease Mentions in Spanish Tweets

Harsh Verma | Parsa Bagherzadeh | Sabine Bergler |

ARGUABLY@SMM4H’22: Classification of Health Related Tweets using Ensemble, Zero-Shot and Fine-Tuned Language Model

Prabsimran Kaur | Guneet Kohli | Jatin Bedi |