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SMM4H - 2022
Total Papers:- 55
Total Papers accross all years:- 163
Total Citations :- 0
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KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish
Antoine Lain |
Wonjin Yoon |
Hyunjae Kim |
Jaewoo Kang |
Ian Simpson |
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022
Davy Weissenbacher |
Juan Banda |
Vera Davydova |
Darryl Estrada Zavala |
Luis Gasco Sánchez |
Yao Ge |
Yuting Guo |
Ari Klein |
Martin Krallinger |
Mathias Leddin |
Arjun Magge |
Raul Rodriguez-Esteban |
Abeed Sarker |
Lucia Schmidt |
Elena Tutubalina |
Graciela Gonzalez-Hernandez |
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19
Vera Davydova |
Elena Tutubalina |
COVID-19-related Nepali Tweets Classification in a Low Resource Setting
Rabin Adhikari |
Safal Thapaliya |
Nirajan Basnet |
Samip Poudel |
Aman Shakya |
Bishesh Khanal |
Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models
Raphael Frick |
Martin Steinebach |
BOUN-TABI@SMM4H’22: Text-to-Text Adverse Drug Event Extraction with Data Balancing and Prompting
Gökçe Uludoğan |
Zeynep Yirmibeşoğlu |
MANTIS at SMM4H’2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress
Sourabh Zanwar |
Daniel Wiechmann |
Yu Qiao |
Elma Kerz |
John_Snow_Labs@SMM4H’22: Social Media Mining for Health (#SMM4H) with Spark NLP
Veysel Kocaman |
Cabir Celik |
Damla Gurbaz |
Gursev Pirge |
Bunyamin Polat |
Halil Saglamlar |
Meryem Vildan Sarikaya |
Gokhan Turer |
David Talby |
uestcc@SMM4H’22: RoBERTa based Adverse Drug Events Classification on Tweets
Chunchen Wei |
Ran Bi |
Yanru Zhang |
Edinburgh_UCL_Health@SMM4H’22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccination
Imane Guellil |
Jinge Wu |
Honghan Wu |
Tony Sun |
Beatrice Alex |
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