NLPExplorer

SMM4H - 2022

Total Papers:- 55

Total Papers accross all years:- 163

Total Citations :- 0

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CSECU-DSG@SMM4H’22: Transformer based Unified Approach for Classification of Changes in Medication Treatments in Tweets and WebMD Reviews

Afrin Sultana | Nihad Karim Chowdhury | Abu Nowshed Chy |

UB Health Miners@SMM4H’22: Exploring Pre-processing Techniques To Classify Tweets Using Transformer Based Pipelines.

Roshan Khatri | Sougata Saha | Souvik Das | Rohini Srihari |

Romanian micro-blogging named entity recognition including health-related entities

ITAINNOVA at SocialDisNER: A Transformers cocktail for disease identification in social media in Spanish

Rosa Montañés-Salas | Irene López-Bosque | Luis García-Garcés | Rafael del-Hoyo-Alonso |

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

FRE at SocialDisNER: Joint Learning of Language Models for Named Entity Recognition

Kendrick Cetina | Nuria García-Santa |

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

Keshav Kapur | Rajitha Harikrishnan | Sanjay Singh |

Leveraging Social Media as a Source for Clinical Guidelines: A Demarcation of Experiential Knowledge

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

Yan Zhuang | Yanru Zhang |

CompLx@SMM4H’22: In-domain pretrained language models for detection of adverse drug reaction mentions in English tweets

Orest Xherija | Hojoon Choi |

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

OFU@SMM4H’22: Mining Advent Drug Events Using Pretrained Language Models

Omar Adjali | Fréjus A. A. Laleye | Umang Aggarwal |

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. |

CAISA@SMM4H’22: Robust Cross-Lingual Detection of Disease Mentions on Social Media with Adversarial Methods

Akbar Karimi | Lucie Flek |