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Papers
PingAnTech at SMM4H task1: Multiple pre-trained model approaches for Adverse Drug Reactions
COLING 2022
RACAI@SMM4H’22: Tweets Disease Mention Detection Using a Neural Lateral Inhibitory Mechanism
COLING 2022
SINAI@SMM4H’22: Transformers for biomedical social media text mining in Spanish
COLING 2022
The SocialDisNER shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora
COLING 2022
zydhjh4593@SMM4H’22: A Generic Pre-trained BERT-based Framework for Social Media Health Text Classification
COLING 2022
Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks
NAACL 2021
Classification of COVID19 tweets using Machine Learning Approaches
NAACL 2021
Fine-tuning BERT to classify COVID19 tweets containing symptoms
NAACL 2021
Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets
NAACL 2021
Identification of profession & occupation in Health-related Social Media using tweets in Spanish
NAACL 2021
Identifying professions & occupations in Health-related Social Media using Natural Language Processing
NAACL 2021
IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets
NAACL 2021
Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19
EACL 2021
OCHADAI at SMM4H-2021 Task 5: Classifying self-reporting tweets on potential cases of COVID-19 by ensembling pre-trained language models
NAACL 2021
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021
NAACL 2021
Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications
NAACL 2021
Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies
NAACL 2021
The ProfNER shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora
NAACL 2021
An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events
EMNLP 2020
Approaching SMM4H 2020 with Ensembles of BERT Flavours
COLING 2020
Automatic Classification of Tweets Mentioning a Medication Using Pre-trained Sentence Encoders
COLING 2020
Automatic Detecting for Health-related Twitter Data with BioBERT
COLING 2020
Characterizing drug mentions in COVID-19 Twitter Chatter
EMNLP 2020
Cross-Lingual Suicidal-Oriented Word Embedding toward Suicide Prevention
EMNLP 2020
Ensemble BERT for Classifying Medication-mentioning Tweets
COLING 2020