NLPExplorer

SMM4H - 2022

Total Papers:- 55

Total Papers accross all years:- 163

Total Citations :- 0

« 1 2 3 4 »

Innovators @ SMM4H’22: An Ensembles Approach for self-reporting of COVID-19 Vaccination Status Tweets

Mohammad Zohair | Nidhir Bhavsar | Aakash Bhatnagar | Muskaan Singh |

AIR-JPMC@SMM4H’22: BERT + Ensembling = Too Cool: Using Multiple BERT Models Together for Various COVID-19 Tweet Identification Tasks

RACAI@SMM4H’22: Tweets Disease Mention Detection Using a Neural Lateral Inhibitory Mechanism

Andrei-Marius Avram | Vasile Pais | Maria Mitrofan |

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task

Graciela Gonzalez-Hernandez | Davy Weissenbacher |

zydhjh4593@SMM4H’22: A Generic Pre-trained BERT-based Framework for Social Media Health Text Classification

READ-BioMed@SocialDisNER: Adaptation of an Annotation System to Spanish Tweets

Antonio Jimeno Yepes | Karin Verspoor |

CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts

Enolp musk@SMM4H’22 : Leveraging Pre-trained Language Models for Stance And Premise Classification

SINAI@SMM4H’22: Transformers for biomedical social media text mining in Spanish

Innovators@SMM4H’22: An Ensembles Approach for Stance and Premise Classification of COVID-19 Health Mandates Tweets

Vatsal Savaliya | Aakash Bhatnagar | Nidhir Bhavsar | Muskaan Singh |

The SocialDisNER shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora

NLP-CIC-WFU at SocialDisNER: Disease Mention Extraction in Spanish Tweets Using Transfer Learning and Search by Propagation

Antonio Tamayo | Alexander Gelbukh | Diego Burgos |

NCUEE-NLP@SMM4H’22: Classification of Self-reported Chronic Stress on Twitter Using Ensemble Pre-trained Transformer Models

Tzu-Mi Lin | Chao-Yi Chen | Yu-Wen Tzeng | Lung-Hao Lee |

Transformer-based classification of premise in tweets related to COVID-19

Vadim Porvatov | Natalia Semenova |

AILAB-Udine@SMM4H’22: Limits of Transformers and BERT Ensembles