CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text Classification. - Arjun Magge; Matthew Scotch; Graciela Gonzalez 001 (SMM4H@AMIA, 2017)

Social media mining for identification and exploration of health-related information from pregnant women. - Pramod Bharadwaj Chandrashekar; Arjun Magge; Abeed Sarker; Graciela Gonzalez 001 (CoRR, 2017)

A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings. - Masoud Rouhizadeh; Arjun Magge; Ari Z. Klein; Abeed Sarker; Graciela Gonzalez 001 (DH, 2018)

Clinical NER and Relation Extraction using Bi-Char-LSTMs and Random Forest Classifiers. - Arjun Magge; Matthew Scotch; Graciela Gonzalez-Hernandez (Medication and Adverse Drug Event Detection, 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)

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)

Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature. - Arjun Magge; Davy Weissenbacher; Abeed Sarker; Matthew Scotch; Graciela Gonzalez-Hernandez (PSB, 2019)

SemEval-2019 Task 12: Toponym Resolution in Scientific Papers. - Davy Weissenbacher; Arjun Magge; Karen O'Connor; Matthew Scotch; Graciela Gonzalez-Hernandez (SemEval@NAACL-HLT, 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 (SMM4H@ACL, 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)

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)

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 (W-NUT@EMNLP, 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 (SMM4H@COLING, 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)

Addressing Extreme Imbalance for Detecting Medications Mentioned in Twitter User Timelines. - Davy Weissenbacher; Siddharth Rawal; Arjun Magge; Graciela Gonzalez-Hernandez (AIME, 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; et al. (SMM4H@NAACL-HLT, 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)

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)

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 003; Yuting Guo; Ari Z. Klein; Martin Krallinger; Mathias Leddin; Arjun Magge; Raul Rodriguez-Esteban; et al. (SMM4H@COLING, 2022)