COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter

15 May 2020

Papers citing "COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter"

42 / 92 papers shown

Title
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines Soham Poddar Azlaan Mustafa Samad Rajdeep Mukherjee Niloy Ganguly Saptarshi Ghosh 6 26 0 28 Apr 2022
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model Usman Naseem Byoung Chan Lee Matloob Khushi Jinman Kim A. Dunn AI4MH LM&MA VLM 10 33 0 09 Apr 2022
Infusing Knowledge from Wikipedia to Enhance Stance Detection Zihao He Negar Mokhberian Kristina Lerman 10 44 0 08 Apr 2022
A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court Transcripts Miriam Schirmer Udo Kruschwitz Gregor Donabauer AILaw 16 4 0 06 Apr 2022
The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation Yanfang Hou P. V. D. Putten Suzan Verberne 25 9 0 05 Apr 2022
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection Jens Lemmens Jens Van Nooten Tim Kreutz Walter Daelemans 14 6 0 14 Mar 2022
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing Sonish Sivarajkumar Yanshan Wang VLM LM&MA 31 54 0 09 Mar 2022
From Hesitancy Framings to Vaccine Hesitancy Profiles: A Journey of Stance, Ontological Commitments and Moral Foundations Maxwell Weinzierl S. Harabagiu 6 14 0 18 Feb 2022
VaccineLies: A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines Maxwell Weinzierl S. Harabagiu 22 11 0 18 Feb 2022
Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse Maxwell Weinzierl S. Harabagiu 16 18 0 18 Feb 2022
Automated Evidence Collection for Fake News Detection Mrinal Rawat Diptesh Kanojia 14 3 0 13 Dec 2021
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection Jan Philip Wahle Nischal Ashok Kumar Terry Ruas Norman Meuschke Tirthankar Ghosal Bela Gipp 30 17 0 15 Nov 2021
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications Adrien Bennetot Ivan Donadello Ayoub El Qadi M. Dragoni Thomas Frossard ... M. Trocan Raja Chatila Andreas Holzinger Artur Garcez Natalia Díaz Rodríguez XAI 22 7 0 13 Nov 2021
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles Boshko Koloski Timen Stepisnik Perdih Marko Robnik-Šikonja Senja Pollak Blaž Škrlj 11 70 0 20 Oct 2021
Deep Transfer Learning & Beyond: Transformer Language Models in Information Systems Research Ross Gruetzemacher D. Paradice 14 30 0 18 Oct 2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora Xisen Jin Dejiao Zhang Henghui Zhu Wei Xiao Shang-Wen Li Xiaokai Wei Andrew O. Arnold Xiang Ren KELM CLL 20 110 0 16 Oct 2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey Benyou Wang Qianqian Xie Jiahuan Pei Zhihong Chen Prayag Tiwari Zhao Li Jie Fu LM&MA AI4CE 23 163 0 11 Oct 2021
A Comparative Study of Transformer-Based Language Models on Extractive Question Answering Kate Pearce Tiffany Zhan Aneesh Komanduri J. Zhan ELM 16 33 0 07 Oct 2021
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning Yuanzhi Chen Mohammad Rashedul Hasan 16 4 0 19 Sep 2021
Traffic Event Detection as a Slot Filling Problem Xiangyu Yang Giannis Bekoulis Nikos Deligiannis 14 5 0 13 Sep 2021
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha VLM LM&MA 26 258 0 12 Aug 2021
Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction Maxwell Weinzierl S. Harabagiu 6 29 0 04 Aug 2021
Emotion analysis and detection during COVID-19 Tiberiu Sosea Chau Minh Pham Alexander Tekle Cornelia Caragea J. Li 13 13 0 23 Jul 2021
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic Ye Jiang Xingyi Song Carolina Scarton Ahmet Aker Kalina Bontcheva 27 17 0 22 Jun 2021
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU Usman Naseem Matloob Khushi Jinman Kim A. Dunn 13 12 0 17 Jun 2021
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines Saadia Gabriel Skyler Hallinan Maarten Sap Pemi Nguyen Franziska Roesner Eunsol Choi Yejin Choi 16 41 0 18 Apr 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 18 163 0 16 Apr 2021
BERT based Transformers lead the way in Extraction of Health Information from Social Media Sidharth Ramesh Abhiraj Tiwari Parthivi Choubey Saisha Kashyap Sahil Khose Kumud Lakara Nishesh Singh Ujjwal Verma MedIm 16 13 0 15 Apr 2021
The Surprising Performance of Simple Baselines for Misinformation Detection Kellin Pelrine Jacob Danovitch Reihaneh Rabbany 22 63 0 14 Apr 2021
Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble Georgios Tziafas Konstantinos Kogkalidis Tommaso Caselli 11 9 0 12 Apr 2021
On the Role of Images for Analyzing Claims in Social Media Gullal Singh Cheema Sherzod Hakimov Eric Müller-Budack Ralph Ewerth 13 10 0 17 Mar 2021
How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings Yanzhu Guo Christos Xypolopoulos Michalis Vazirgiannis 12 10 0 15 Feb 2021
Leveraging cross-platform data to improve automated hate speech detection John D. Gallacher 17 4 0 09 Feb 2021
Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection Ben Chen B. Chen D. Gao Qijin Chen Chengfu Huo Xiaonan Meng Weijun Ren Yang Zhou 18 40 0 14 Jan 2021
Evaluating Deep Learning Approaches for Covid19 Fake News Detection Apurva Wani Isha Joshi Snehal Khandve Vedangi Wagh Raviraj Joshi GNN 60 110 0 11 Jan 2021
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection Anna Glazkova Maksim Glazkov T. Trifonov 9 58 0 22 Dec 2020
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models Usman Naseem Imran Razzak S. Khan M. Prasad 12 157 0 28 Oct 2020
Drink Bleach or Do What Now? Covid-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation Arkin Dharawat Ismini Lourentzou Alex Morales ChengXiang Zhai 12 17 0 17 Oct 2020
Extracting a Knowledge Base of COVID-19 Events from Social Media Shi Zong Ashutosh Baheti Wei-ping Xu Alan Ritter 14 10 0 03 Jun 2020
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society Firoj Alam Shaden Shaar Fahim Dalvi Hassan Sajjad Alex Nikolov ... Tommaso Caselli Gijs Danoe Friso Stolk Britt Bruntink Preslav Nakov 15 156 0 30 Apr 2020
CBAG: Conditional Biomedical Abstract Generation Justin Sybrandt Ilya Safro MedIm AI4CE 6 8 0 13 Feb 2020
Natural Language Processing: State of The Art, Current Trends and Challenges Diksha Khurana Aditya Koli Kiran Khatter Sukhdev Singh 15 1,020 0 17 Aug 2017