Ramya Tekumalla

16 papers A 1B 3Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition.
Database J. Biol. Databases Curation
Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Melo Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez
2023 — conf
Leveraging Large Language Models and Weak Supervision for Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets.
HCI (50)
Ramya Tekumalla, Juan M. Banda
2023 J jnl
Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets.
CoRR
Ramya Tekumalla, Juan M. Banda
2023 B conf
Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations.
IEEE Big Data
Ramya Tekumalla, Luis Alberto Robles Hernandez, Juan M. Banda
2023 J jnl
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions.
Neural Comput. Appl.
Ramya Tekumalla, Juan M. Banda
2022 B conf
An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision.
IEEE Big Data
Ramya Tekumalla, Juan M. Banda
2022 — conf
Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter.
ICWSM Workshops
Ramya Tekumalla, Zia Baig, Michelle Pan, Luis Alberto Robles Hernandez, Michael Wang, Juan M. Banda
2022 J jnl
Identifying epidemic related Tweets using noisy learning.
CoRR
Ramya Tekumalla, Juan M. Banda
2022 B conf
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision.
IEEE Big Data
Ramya Tekumalla, Juan M. Banda
2022 J jnl
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision.
CoRR
Ramya Tekumalla, Juan M. Banda
2020 J jnl
A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration.
CoRR
Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Gerardo Chowell
2020 J jnl
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources.
CoRR
Ramya Tekumalla, Juan M. Banda
2020 J jnl
Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning.
CoRR
Ramya Tekumalla, Juan M. Banda
2020 — conf
Characterizing drug mentions in COVID-19 Twitter Chatter.
NLP4COVID@EMNLP
Ramya Tekumalla, Juan M. Banda
2020 A conf
Mining Archive.org's Twitter Stream Grab for Pharmacovigilance Research Gold.
ICWSM
Ramya Tekumalla, Javad Rafiei Asl, Juan M. Banda
2020 J jnl
Social Media Mining Toolkit (SMMT).
CoRR
Ramya Tekumalla, Juan M. Banda