Arjun Magge

According to our database, Arjun Magge authored at least 19 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022.

Davy Weissenbacher, Juan M. Banda, Vera Davydova, Darryl Estrada-Zavala, Luis Gascó Sánchez, Yao Ge, Yuting Guo, Ari Z. Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Ana Lucía Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

2021

DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter.

Arjun Magge, Elena Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova, Anne Dirkson, Suzan Verberne, Davy Weissenbacher, Graciela Gonzalez-Hernandez

J. Am. Medical Informatics Assoc., 2021

ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets.

Ari Z. Klein, Arjun Magge, Graciela Gonzalez-Hernandez

CoRR, 2021

Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 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

Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

Addressing Extreme Imbalance for Detecting Medications Mentioned in Twitter User Timelines.

Davy Weissenbacher, Siddharth Rawal, Arjun Magge, Graciela Gonzalez-Hernandez

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

GeoBoost2: a natural languageprocessing pipeline for GenBank metadata enrichment for virus phylogeography.

Arjun Magge, Davy Weissenbacher, Karen O'Connor, Tasnia Tahsin, Graciela Gonzalez-Hernandez, Matthew Scotch

Bioinform., 2020

Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020.

Ari Z. Klein, Ilseyar Alimova, Ivan Flores, Arjun Magge, Zulfat Miftahutdinov, Anne-Lyse Minard, Karen O'Connor, Abeed Sarker, Elena Tutubalina, Davy Weissenbacher, Graciela Gonzalez-Hernandez

Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020

UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter.

Arjun Magge, Varad Pimpalkhute, Divya Rallapalli, David Siguenza, Graciela Gonzalez-Hernandez

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019

Deep neural networks ensemble for detecting medication mentions in tweets.

Davy Weissenbacher, Abeed Sarker, Ari Z. Klein, Karen O'Connor, Arjun Magge, Graciela Gonzalez-Hernandez

J. Am. Medical Informatics Assoc., 2019

Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".

Arjun Magge, Abeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez-Hernandez

J. Am. Medical Informatics Assoc., 2019

Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019.

Davy Weissenbacher, Abeed Sarker, Arjun Magge, Ashlynn R. Daughton, Karen O'Connor, Michael J. Paul, Graciela Gonzalez-Hernandez

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

SemEval-2019 Task 12: Toponym Resolution in Scientific Papers.

Davy Weissenbacher, Arjun Magge, Karen O'Connor, Matthew Scotch, Graciela Gonzalez-Hernandez

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature.

Arjun Magge, Davy Weissenbacher, Abeed Sarker, Matthew Scotch, Graciela Gonzalez-Hernandez

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018

GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.

Tasnia Tahsin, Davy Weissenbacher, Karen O'Connor, Arjun Magge, Matthew Scotch, Graciela Gonzalez-Hernandez

Bioinform., 2018

Deep neural networks and distant supervision for geographic location mention extraction.

Arjun Magge, Davy Weissenbacher, Abeed Sarker, Matthew Scotch, Graciela Gonzalez-Hernandez

Bioinform., 2018

Clinical NER and Relation Extraction using Bi-Char-LSTMs and Random Forest Classifiers.

Arjun Magge, Matthew Scotch, Graciela Gonzalez-Hernandez

Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, 2018

A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings.

Masoud Rouhizadeh, Arjun Magge, Ari Z. Klein, Abeed Sarker, Graciela Gonzalez

Proceedings of the 2018 International Conference on Digital Health, 2018

2017

Social media mining for identification and exploration of health-related information from pregnant women.

Pramod Bharadwaj Chandrashekar, Arjun Magge, Abeed Sarker, Graciela Gonzalez

CoRR, 2017

CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text Classification.

Arjun Magge, Matthew Scotch, Graciela Gonzalez

Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017