SMM4H@COLING

Publications

2022

Afrin Sultana, Nihad Karim Chowdhury, Abu Nowshed Chy
CSECU-DSG@SMM4H'22: Transformer based Unified Approach for Classification of Changes in Medication Treatments in Tweets and WebMD Reviews. SMM4H@COLING (2022)
Raphael Antonius Frick, Martin Steinebach
Fraunhofer SIT@SMM4H'22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models. SMM4H@COLING (2022)
Imane Guellil, Jinge Wu, Honghan Wu, Tony Sun, Beatrice Alex
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. SMM4H@COLING (2022)
Aman Sinha, Cristina García Holgado, Marianne Clausel, Matthieu Constant
IAI @ SocialDisNER : Catch me if you can! Capturing complex disease mentions in tweets. SMM4H@COLING (2022)
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, SMM4H@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022. SMM4H@COLING (2022)
Antoine Lain, Wonjin Yoon, Hyunjae Kim, Jaewoo Kang, Ian Simpson
KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish. SMM4H@COLING (2022)
Mohammad Zohair, Nidhir Bhavsar, Aakash Bhatnagar, Muskaan Singh
Innovators @ SMM4H'22: An Ensembles Approach for self-reporting of COVID-19 Vaccination Status Tweets. SMM4H@COLING (2022)
Akbar Karimi, Lucie Flek
CAISA@SMM4H'22: Robust Cross-Lingual Detection of Disease Mentions on Social Media with Adversarial Methods. SMM4H@COLING (2022)
Atnafu Lambebo Tonja, Olumide Ebenezer Ojo, Mohammed Arif Khan, Abdul Gafar Manuel Meque, Olga Kolesnikova, Grigori Sidorov, Alexander F. Gelbukh
CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts. SMM4H@COLING (2022)
Tzu-Mi Lin, Chao-Yi Chen, Yu-Wen Tzeng, Lung-Hao Lee
NCUEE-NLP@SMM4H'22: Classification of Self-reported Chronic Stress on Twitter Using Ensemble Pre-trained Transformer Models. SMM4H@COLING (2022)
Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, Bishesh Khanal
COVID-19-related Nepali Tweets Classification in a Low Resource Setting. SMM4H@COLING (2022)
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz
MANTIS at SMM4H'2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress. SMM4H@COLING (2022)
Edgar Morais, José Luís Oliveira, Alina Trifan, Olga Fajarda
BioInfo@UAVR@SMM4H'22: Classification and Extraction of Adverse Event mentions in Tweets using Transformer Models. SMM4H@COLING (2022)
Beatrice Portelli, Simone Scaboro, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra
AILAB-Udine@SMM4H'22: Limits of Transformers and BERT Ensembles. SMM4H@COLING (2022)
Harsh Verma, Parsa Bagherzadeh, Sabine Bergler
CLaCLab at SocialDisNER: Using Medical Gazetteers for Named-Entity Recognition of Disease Mentions in Spanish Tweets. SMM4H@COLING (2022)
Vatsal Savaliya, Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh
Innovators@SMM4H'22: An Ensembles Approach for Stance and Premise Classification of COVID-19 Health Mandates Tweets. SMM4H@COLING (2022)
Vasile Pais, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Carol Luca Gasan, Roxana Micu
Romanian micro-blogging named entity recognition including health-related entities. SMM4H@COLING (2022)
Alec Louis Candidato, Akshat Gupta, Xiaomo Liu, Sameena Shah
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models. SMM4H@COLING (2022)
Roshan Khatri, Sougata Saha, Souvik Das, Rohini K. Srihari
UB Health Miners@SMM4H'22: Exploring Pre-processing Techniques To Classify Tweets Using Transformer Based Pipelines. SMM4H@COLING (2022)
Kendrick Cetina, Nuria García-Santa
FRE at SocialDisNER: Joint Learning of Language Models for Named Entity Recognition. SMM4H@COLING (2022)
Rosa María Montañés-Salas, Irene López-Bosque, Luis García-Garcés, Rafael del-Hoyo-Alonso
ITAINNOVA at SocialDisNER: A Transformers cocktail for disease identification in social media in Spanish. SMM4H@COLING (2022)
Matías Rojas, Jose Barros, Kinan Martin, Mauricio Araneda-Hernandez, Jocelyn Dunstan
PLN CMM at SocialDisNER: Improving Detection of Disease Mentions in Tweets by Using Document-Level Features. SMM4H@COLING (2022)
Antonio Jimeno-Yepes, Karin Verspoor
READ-BioMed@SocialDisNER: Adaptation of an Annotation System to Spanish Tweets. SMM4H@COLING (2022)
Mariia Chizhikova, Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín Valdivia
SINAI@SMM4H'22: Transformers for biomedical social media text mining in Spanish. SMM4H@COLING (2022)
Paul Trust, Provia Kadusabe, Ahmed Zahran, Rosane Minghim, Kizito Omala
UCCNLP@SMM4H'22: Label distribution aware long-tailed learning with post-hoc posterior calibration applied to text classification. SMM4H@COLING (2022)
Davy Weissenbacher, Juan Banda, Vera Davydova, Darryl Estrada-Zavala, Luis Gascó Sánchez, Yao Ge, Yuting Guo, Ari Z. Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Lucia Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. SMM4H@COLING (2022)
Daniel Claeser, Samantha Kent
Fraunhofer FKIE @ SMM4H 2022: System Description for Shared Tasks 2, 4 and 9. SMM4H@COLING (2022)
Reshma Unnikrishnan, Sowmya Kamath S., Ananthanarayana V. S.
HaleLab_NITK@SMM4H'22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media Data. SMM4H@COLING (2022)
Huabin Yang, Zhongjian Zhang, Yanru Zhang
yiriyou@SMM4H'22: Stance and Premise Classification in Domain Specific Tweets with Dual-View Attention Neural Networks. SMM4H@COLING (2022)
Xi Liu, Han Zhou, Chang Su
PingAnTech at SMM4H task1: Multiple pre-trained model approaches for Adverse Drug Reactions. SMM4H@COLING (2022)
Pan He, Yuze Chen, Yanru Zhang
Zhegu@SMM4H-2022: The Pre-training Tweet & Claim Matching Makes Your Prediction Better. SMM4H@COLING (2022)
Andrei-Marius Avram, Vasile Pais, Maria Mitrofan
RACAI@SMM4H'22: Tweets Disease Mention Detection Using a Neural Lateral Inhibitory Mechanism. SMM4H@COLING (2022)
Leung Wai Liu, Akshat Gupta, Saheed Obitayo, Xiaomo Liu, Sameena Shah
AIR-JPMC@SMM4H'22: BERT + Ensembling = Too Cool: Using Multiple BERT Models Together for Various COVID-19 Tweet Identification Tasks. SMM4H@COLING (2022)
Oscar Lithgow-Serrano, Joseph Cornelius, Fabio Rinaldi, Ljiljana Dolamic
mattica@SMM4H'22: Leveraging sentiment for stance & premise joint learning. SMM4H@COLING (2022)
Gökçe Uludogan, Zeynep Yirmibesoglu
BOUN-TABI@SMM4H'22: Text-to-Text Adverse Drug Event Extraction with Data Balancing and Prompting. SMM4H@COLING (2022)
Jia Fu, Sirui Li, Hui Ming Yuan, Zhucong Li, Zhen Gan, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu
CASIA@SMM4H'22: A Uniform Health Information Mining System for Multilingual Social Media Texts. SMM4H@COLING (2022)
Vera Davydova, Elena Tutubalina
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19. SMM4H@COLING (2022)
Antonio Tamayo, Alexander F. Gelbukh, Diego A. Burgos
NLP-CIC-WFU at SocialDisNER: Disease Mention Extraction in Spanish Tweets Using Transfer Learning and Search by Propagation. SMM4H@COLING (2022)
Frontmatter. SMM4H@COLING (2022)
Chenghao Huang, Xiaolu Chen, Yuxi Chen, Yutong Wu, Weimin Yuan, Yan Wang, Yanru Zhang
zydhjh4593@SMM4H'22: A Generic Pre-trained BERT-based Framework for Social Media Health Text Classification. SMM4H@COLING (2022)
Prabsimran Kaur, Guneet Kohli, Jatin Bedi
ARGUABLY@SMM4H'22: Classification of Health Related Tweets using Ensemble, Zero-Shot and Fine-Tuned Language Model. SMM4H@COLING (2022)
Sumam Francis, Marie-Francine Moens
KUL@SMM4H'22: Template Augmented Adaptive Pre-training for Tweet Classification. SMM4H@COLING (2022)
Veysel Kocaman, Cabir Celik, Damla Gurbaz, Gursev Pirge, Bunyamin Polat, Halil Saglamlar, Meryem Vildan Sarikaya, Gokhan Turer, David Talby
John_Snow_Labs@SMM4H'22: Social Media Mining for Health (#SMM4H) with Spark NLP. SMM4H@COLING (2022)
Millon Das, Archit Mangrulkar, Ishan Manchanda, Manav Nitin Kapadnis, Sohan Patnaik
Enolp musk@SMM4H'22 : Leveraging Pre-trained Language Models for Stance And Premise Classification. SMM4H@COLING (2022)
Luis Gascó Sánchez, Darryl Estrada-Zavala, Eulàlia Farré-Maduell, Salvador Lima-López, Antonio Miranda-Escalada, Martin Krallinger
The SocialDisNER shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora. SMM4H@COLING (2022)
Adrian Garcia Hernandez, Leung Wai Liu, Akshat Gupta, Vineeth Ravi, Saheed O. Obitayo, Xiaomo Liu, Sameena Shah
AIR-JPMC@SMM4H'22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling. SMM4H@COLING (2022)
Vadim Porvatov, Natalia Semenova
Transformer-based classification of premise in tweets related to COVID-19. SMM4H@COLING (2022)
Keshav Kapur, Rajitha Harikrishnan, Sanjay Singh
MaNLP@SMM4H'22: BERT for Classification of Twitter Posts. SMM4H@COLING (2022)
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz
The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts. SMM4H@COLING (2022)
Omar Adjali, Fréjus A A Laleye, Umang Aggarwal
OFU@SMM4H'22: Mining Advent Drug Events Using Pretrained Language Models. SMM4H@COLING (2022)