KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue
Elena Tutubalina
Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task
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Fine-tuning BERT to classify COVID19 tweets containing symptoms
Rajarshi Roychoudhury
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task
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UACH-INAOE at SMM4H: a BERT based approach for classification of COVID-19 Twitter posts
Jesus Daniel Baez Lopez
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task, 2021
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ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021
Priya Rani
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task, 2021
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Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines
Sougata Saha
2020
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UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network
Thùy Nguyễn
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 2020
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IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT
Supriya Chanda
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 2020
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Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task
Goran Nenadic
Journal of the American Medical Informatics Association : JAMIA, 2018
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MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter
Yaman Kumar
Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task
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Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021
Martin Krallinger
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task, 2021
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Identifying COVID-19 cases and extracting patient reported symptoms from Reddit using natural language processing
Efe Eworuke
Scientific Reports
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Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter
Sifei Han
2017
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Automatic Extraction of Medication Names in Tweets as Named Entity Recognition
Virginia Adams
arXiv (Cornell University), 2021
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SemEval-2017 Task 4: Sentiment Analysis in Twitter using BERT
Rupak Kumar Das
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Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies
Emmanuele Chersoni
ArXiv, 2021
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ISWARA at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings
Isnaini Nurul Khasanah
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 2020
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IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets
prajwal nakhate
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task, 2021
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Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification
Usman Naseem
Proceedings of the ACM Web Conference 2022
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A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets
sheraz ahmed
arXiv (Cornell University), 2022
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Principle Base Approach for Classifying Tweets with Flu-related Information in NTCIR-13 MedWeb Task
Hong-jie Dai
2017
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Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model
Usman Naseem
Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP
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Boosting Transformers using Background Knowledge, or how to detect Drug Mentions in Social Media using Limited Data
Lisa Raithel
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CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets -- RoBERTa Ensembles and The Continued Relevance of Handcrafted Features
Harish Tayyar Madabushi
arXiv (Cornell University), 2020
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COVID-19 Tweets Analysis through Transformer Language Models
Abdul Hameed Azeemi
2021
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SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain
Linh Nguyễn Trần Bảo
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 2020
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