Arjun Magge

Orcid: 0000-0002-4109-1346

According to our database1, Arjun Magge authored at least 16 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2022
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022.
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.
J. Am. Medical Informatics Assoc., 2021

ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets.
CoRR, 2021

Addressing Extreme Imbalance for Detecting Medications Mentioned in Twitter User Timelines.
Proceedings of the Artificial Intelligence in Medicine, 2021

2020
GeoBoost2: a natural languageprocessing pipeline for GenBank metadata enrichment for virus phylogeography.
Bioinform., 2020

UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019
Deep neural networks ensemble for detecting medication mentions in tweets.
J. Am. Medical Informatics Assoc., 2019

Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".
J. Am. Medical Informatics Assoc., 2019

SemEval-2019 Task 12: Toponym Resolution in Scientific Papers.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018
GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.
Bioinform., 2018

Deep neural networks and distant supervision for geographic location mention extraction.
Bioinform., 2018

Clinical NER and Relation Extraction using Bi-Char-LSTMs and Random Forest Classifiers.
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.
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.
CoRR, 2017

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


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