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SMM4H - 2021
Total Papers:- 34
Total Papers accross all years:- 163
Total Citations :- 0
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Identification of profession & occupation in Health-related Social Media using tweets in Spanish
Victoria Pachón |
Jacinto Mata Vázquez |
Juan Luís Domínguez Olmedo |
The ProfNER shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora
Antonio Miranda-Escalada |
Eulàlia Farré-Maduell |
Salvador Lima-López |
Luis Gascó |
Vicent Briva-Iglesias |
Marvin Agüero-Torales |
Martin Krallinger |
KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects
Andrey Sakhovskiy |
Zulfat Miftahutdinov |
Elena Tutubalina |
BERT based Adverse Drug Effect Tweet Classification
Tanay Kayastha |
Pranjal Gupta |
Pushpak Bhattacharyya |
Word Embeddings, Cosine Similarity and Deep Learning for Identification of Professions & Occupations in Health-related Social Media
Sergio Santamaría Carrasco |
Roberto Cuervo Rosillo |
Approaching SMM4H with auto-regressive language models and back-translation
Joseph Cornelius |
Tilia Ellendorff |
Fabio Rinaldi |
Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks
Tong Zhou |
Zhucong Li |
Zhen Gan |
Baoli Zhang |
Yubo Chen |
Kun Niu |
Jing Wan |
Kang Liu |
Jun Zhao |
Yafei Shi |
Weifeng Chong |
Shengping Liu |
Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media
Vasile Pais |
Maria Mitrofan |
Neural Text Classification and Stacked Heterogeneous Embeddings for Named Entity Recognition in SMM4H 2021
Usama Yaseen |
Stefan Langer |
Classification of COVID19 tweets using Machine Learning Approaches
Anupam Mondal |
Sainik Mahata |
Monalisa Dey |
Dipankar Das |
ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021
Atul Kr. Ojha |
Priya Rani |
Koustava Goswami |
Bharathi Raja Chakravarthi |
John P. McCrae |
BERT Goes Brrr: A Venture Towards the Lesser Error in Classifying Medical Self-Reporters on Twitter
Alham Fikri Aji |
Made Nindyatama Nityasya |
Haryo Akbarianto Wibowo |
Radityo Eko Prasojo |
Tirana Fatyanosa |
IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets
Varad Pimpalkhute |
Prajwal Nakhate |
Tausif Diwan |
Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning
Adarsh Kumar |
Ojasv Kamal |
Susmita Mazumdar |
Classification of Tweets Self-reporting Adverse Pregnancy Outcomes and Potential COVID-19 Cases Using RoBERTa Transformers
Lung-Hao Lee |
Man-Chen Hung |
Chien-Huan Lu |
Chang-Hao Chen |
Po-Lei Lee |
Kuo-Kai Shyu |
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