Ramya Tekumalla
Orcid: 0000-0002-1606-4856
According to our database1,
Ramya Tekumalla
authored at least 14 papers
between 2020 and 2023.
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Bibliography
2023
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions.
Neural Comput. Appl., September, 2023
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition.
Database J. Biol. Databases Curation, February, 2023
Leveraging Large Language Models and Weak Supervision for Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023
Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022
An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision.
Proceedings of the IEEE International Conference on Big Data, 2022
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision.
Proceedings of the IEEE International Conference on Big Data, 2022
2020
Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning.
CoRR, 2020
A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration.
CoRR, 2020
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources.
CoRR, 2020
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020