SMM4H@NAACL-HLT

Keyphrases

Publications

2021

Tanay Kayastha, Pranjal Gupta, Pushpak Bhattacharyya
BERT based Adverse Drug Effect Tweet Classification. SMM4H@NAACL-HLT (2021)
Alberto Valdes, Jesus Lopez, Manuel Montes
UACH-INAOE at SMM4H: a BERT based approach for classification of COVID-19 Twitter posts. SMM4H@NAACL-HLT (2021)
Sidharth R, Abhiraj Tiwari, Parthivi Choubey, Saisha Kashyap, Sahil Khose, Kumud Lakara, Nishesh Singh, Ujjwal Verma
BERT based Transformers lead the way in Extraction of Health Information from Social Media. SMM4H@NAACL-HLT (2021)
Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak
Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets. SMM4H@NAACL-HLT (2021)
Pedro Ruas, Vitor D. T. Andrade, Francisco M. Couto
Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification. SMM4H@NAACL-HLT (2021)
Joseph Cornelius, Tilia Ellendorff, Fabio Rinaldi
Approaching SMM4H with auto-regressive language models and back-translation. SMM4H@NAACL-HLT (2021)
Sergio Santamaria Carrasco, Roberto Cuervo Rosillo
Word Embeddings, Cosine Similarity and Deep Learning for Identification of Professions & Occupations in Health-related Social Media. SMM4H@NAACL-HLT (2021)
Alham Fikri Aji, Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Radityo Eko Prasojo, Tirana Fatyanosa
BERT Goes Brrr: A Venture Towards the Lesser Error in Classifying Medical Self-Reporters on Twitter. SMM4H@NAACL-HLT (2021)
Mohab Elkaref, Lamiece Hassan
A Joint Training Approach to Tweet Classification and Adverse Effect Extraction and Normalization for SMM4H 2021. SMM4H@NAACL-HLT (2021)
Yuting Guo, Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker
Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications. SMM4H@NAACL-HLT (2021)
Tong Zhou, Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Kun Niu, Jing Wan, Kang Liu, Jun Zhao, Yafei Shi, Weifeng Chong, Shengping Liu
Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks. SMM4H@NAACL-HLT (2021)
Victoria Pachón, Jacinto Mata Vázquez, Juan Luis Domínguez-Olmedo
Identification of profession & occupation in Health-related Social Media using tweets in Spanish. SMM4H@NAACL-HLT (2021)
Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. SMM4H@NAACL-HLT (2021)
Lung-Hao Lee, Man-Chen Hung, Chien-Huan Lu, Chang-Hao Chen, Po-Lei Lee, Kuo-Kai Shyu
Classification of Tweets Self-reporting Adverse Pregnancy Outcomes and Potential COVID-19 Cases Using RoBERTa Transformers. SMM4H@NAACL-HLT (2021)
José-Alberto Mesa-Murgado, Ana Belén Parras Portillo, Pilar López-Úbeda, María Teresa Martín-Valdivia, Luis Alfonso Ureña López
Identifying professions & occupations in Health-related Social Media using Natural Language Processing. SMM4H@NAACL-HLT (2021)
Frances Adriana Laureano De Leon, Harish Tayyar Madabushi, Mark Lee
UoB at ProfNER 2021: Data Augmentation for Classification Using Machine Translation. SMM4H@NAACL-HLT (2021)
Atul Kr. Ojha, Priya Rani, Koustava Goswami, Bharathi Raja Chakravarthi, John P. McCrae
ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021. SMM4H@NAACL-HLT (2021)
Zongcheng Ji, Tian Xia, Mei Han
PAII-NLP at SMM4H 2021: Joint Extraction and Normalization of Adverse Drug Effect Mentions in Tweets. SMM4H@NAACL-HLT (2021)
Varad Pimpalkhute, Prajwal Nakhate, Tausif Diwan
IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets. SMM4H@NAACL-HLT (2021)
Adarsh Kumar, Ojasv Kamal, Susmita Mazumdar
Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning. SMM4H@NAACL-HLT (2021)
David Carreto Fidalgo, Daniel Vila-Suero, Francisco Aranda Montes, Ignacio Talavera
System description for ProfNER - SMMH: Optimized finetuning of a pretrained transformer and word vectors. SMM4H@NAACL-HLT (2021)
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, SMM4H@NAACL-HLT 2021, Mexico City, Mexico, June 10, 2021 SMM4H@NAACL-HLT (2021)
Anupam Mondal, Sainik Kumar Mahata, Monalisa Dey, Dipankar Das
Classification of COVID19 tweets using Machine Learning Approaches. SMM4H@NAACL-HLT (2021)
Pavel Blinov
Text Augmentation Techniques in Drug Adverse Effect Detection Task. SMM4H@NAACL-HLT (2021)
Usama Yaseen, Stefan Langer
Neural Text Classification and Stacked Heterogeneous Embeddings for Named Entity Recognition in SMM4H 2021. SMM4H@NAACL-HLT (2021)
Andrey Sakhovskiy, Zulfat Miftahutdinov, Elena Tutubalina
KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects. SMM4H@NAACL-HLT (2021)
Rajarshi Roychoudhury, Sudip Kumar Naskar
Fine-tuning BERT to classify COVID19 tweets containing symptoms. SMM4H@NAACL-HLT (2021)
Ying Luo, Lis Pereira, Ichiro Kobayashi
OCHADAI at SMM4H-2021 Task 5: Classifying self-reporting tweets on potential cases of COVID-19 by ensembling pre-trained language models. SMM4H@NAACL-HLT (2021)
Jingcheng Niu, Erin E. Rees, Victoria Ng, Gerald Penn
Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies. SMM4H@NAACL-HLT (2021)
Payam Karisani, Jinho D. Choi, Li Xiong
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data. SMM4H@NAACL-HLT (2021)
Deepak Kumar, Nalin Kumar, Subhankar Mishra
NLP@NISER: Classification of COVID19 tweets containing symptoms. SMM4H@NAACL-HLT (2021)
Antonio Miranda-Escalada, Eulàlia Farré-Maduell, Salvador Lima-López, Luis Gascó, Vicent Brivá-Iglesias, Marvin Agüero-Torales, Martin Krallinger
The ProfNER shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora. SMM4H@NAACL-HLT (2021)
George-Andrei Dima, Dumitru-Clementin Cercel, Mihai Dascalu
Transformer-based Multi-Task Learning for Adverse Effect Mention Analysis in Tweets. SMM4H@NAACL-HLT (2021)
Vasile Pais, Maria Mitrofan
Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media. SMM4H@NAACL-HLT (2021)