Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction. - Abeed Sarker; Leonard G. C. Hamey (DICTA, 2010)

Automatic Grading of Evidence: the 2011 ALTA Shared Task. - Diego Mollá; Abeed Sarker (ALTA, 2011)

Outcome Polarity Identification of Medical Papers. - Abeed Sarker; Diego Mollá; Cécile Paris (ALTA, 2011)

Towards Two-step Multi-document Summarisation for Evidence Based Medicine: A Quantitative Analysis. - Abeed Sarker; Diego Mollá Aliod; Cécile Paris (ALTA, 2012)

Extractive evidence based medicine summarisation based on sentence-specific statistics. - Abeed Sarker; Diego Mollá; Cécile Paris (CBMS, 2012)

An Approach for Query-Focused Text Summarisation for Evidence Based Medicine. - Abeed Sarker; Diego Mollá; Cécile Paris (AIME, 2013)

Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification. - Abeed Sarker; Diego Mollá Aliod; Cécile Paris (IJCNLP, 2013)

Impact of Citing Papers for Summarisation of Clinical Documents. - Diego Mollá Aliod; Christopher Jones; Abeed Sarker (ALTA, 2014)

Pharmacovigilance on Twitter? Mining Tweets for Adverse Drug Reactions. - Karen O'Connor; Azadeh Nikfarjam; Rachel E. Ginn; Pranoti Pimpalkhute; Abeed Sarker; Karen L. Smith; Graciela Gonzalez-Hernandez (AMIA, 2014)

DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter. - Abeed Sarker; Azadeh Nikfarjam; Davy Weissenbacher; Graciela Gonzalez-Hernandez (SemEval@NAACL-HLT, 2015)

Automatic evidence quality prediction to support evidence-based decision making. - Abeed Sarker; Diego Mollá; Cécile Paris (Artif. Intell. Medicine, 2015)

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features. - Azadeh Nikfarjam; Abeed Sarker; Karen O'Connor; Rachel E. Ginn; Graciela Gonzalez-Hernandez (J. Am. Medical Informatics Assoc., 2015)

Portable automatic text classification for adverse drug reaction detection via multi-corpus training. - Abeed Sarker; Graciela Gonzalez 001 (J. Biomed. Informatics, 2015)

Utilizing social media data for pharmacovigilance: A review. - Abeed Sarker; Rachel E. Ginn; Azadeh Nikfarjam; Karen O'Connor; Karen L. Smith; Swetha Jayaraman; Tejaswi Upadhaya; Graciela Gonzalez-Hernandez (J. Biomed. Informatics, 2015)

Data, tools and resources for mining social media drug chatter. - Abeed Sarker; Graciela Gonzalez 001 (BioTxtM@COLING 2016, 2016)

Session Introduction. - Michael J. Paul; Abeed Sarker; John S. Brownstein; Azadeh Nikfarjam; Matthew Scotch; Karen L. Smith; Graciela Gonzalez-Hernandez (PSB, 2016)

Social Media Mining Shared Task Workshop. - Abeed Sarker; Azadeh Nikfarjam; Graciela Gonzalez-Hernandez (PSB, 2016)

Finding Potentially Unsafe Nutritional Supplements from User Reviews with Topic Modeling. - Ryan Sullivan; Abeed Sarker; Karen O'Connor; Amanda Goodin; Mark Karlsrud; Graciela Gonzalez 001 (PSB, 2016)

DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons. - Abeed Sarker; Graciela Gonzalez 001 (SemEval@NAACL-HLT, 2016)

Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine. - Abbas Chokor; Abeed Sarker; Graciela Gonzalez 001 (CoRR, 2016)

Automated Extraction of Number of Subjects in Randomised Controlled Trials. - Abeed Sarker (CoRR, 2016)

Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. - Ioannis Korkontzelos; Azadeh Nikfarjam; Matthew Shardlow; Abeed Sarker; Sophia Ananiadou; Graciela Gonzalez-Hernandez (J. Biomed. Informatics, 2016)

Query-oriented evidence extraction to support evidence-based medicine practice. - Abeed Sarker; Diego Mollá; Cécile Paris (J. Biomed. Informatics, 2016)

A corpus for research in text processing for evidence based medicine. - Diego Mollá; María Elena Santiago-Martínez; Abeed Sarker; Cécile Paris (Lang. Resour. Evaluation, 2016)

Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology. - Ehsan Emadzadeh; Abeed Sarker; Azadeh Nikfarjam; Graciela Gonzalez-Hernandez (AMIA, 2017)

Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017. - Abeed Sarker; Graciela Gonzalez 001 (SMM4H@AMIA, 2017)

Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System. - Ari Z. Klein; Abeed Sarker; Masoud Rouhizadeh; Karen O'Connor; Graciela Gonzalez 001 (BioNLP, 2017)

HLP$@$UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors. - Abeed Sarker; Graciela Gonzalez 001 (SemEval@ACL, 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)

Automated text summarisation and evidence-based medicine: A survey of two domains. - Abeed Sarker; Diego Mollá Aliod; Cécile Paris (CoRR, 2017)

A customizable pipeline for social media text normalization. - Abeed Sarker (Soc. Netw. Anal. Min., 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)

Session Introduction. - Graciela Gonzalez-Hernandez; Abeed Sarker; Karen O'Connor; Casey S. Greene; Hongfang Liu (PSB, 2018)

Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018. - Davy Weissenbacher; Abeed Sarker; Michael J. Paul; Graciela Gonzalez-Hernandez (SMM4H@EMNLP, 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)

Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research. - Ari Z. Klein; Abeed Sarker; Davy Weissenbacher; Graciela Gonzalez-Hernandez (CoRR, 2018)

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. - Abeed Sarker; Maksim Belousov; Jasper Friedrichs; Kai Hakala; Svetlana Kiritchenko; Farrokh Mehryary; Sifei Han; Tung Tran 001; Anthony Rios; Ramakanth Kavuluru; Berry de Bruijn; Filip Ginter; et al. (J. Am. Medical Informatics Assoc., 2018)

Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter. - Ari Z. Klein; Abeed Sarker; Haitao Cai; Davy Weissenbacher; Graciela Gonzalez-Hernandez (J. Biomed. Informatics, 2018)

An unsupervised and customizable misspelling generator for mining noisy health-related text sources. - Abeed Sarker; Graciela Gonzalez-Hernandez (J. Biomed. Informatics, 2018)

Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods. - Abeed Sarker; Graciela Gonzalez-Hernandez; Jeanmarie Perrone (MedInfo, 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 (PSB, 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)

Towards Automatic Bot Detection in Twitter for Health-related Tasks. - Anahita Davoudi; Ari Z. Klein; Abeed Sarker; Graciela Gonzalez-Hernandez (CoRR, 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)

An interpretable natural language processing system for written medical examination assessment. - Abeed Sarker; Ari Z. Klein; Janet Mee; Polina Harik; Graciela Gonzalez-Hernandez (J. Biomed. Informatics, 2019)

Data-Driven Lexical Normalization for Medical Social Media. - Anne Dirkson; Suzan Verberne; Abeed Sarker; Wessel Kraaij (Multimodal Technol. Interact., 2019)

Towards scaling Twitter for digital epidemiology of birth defects. - Ari Z. Klein; Abeed Sarker; Davy Weissenbacher; Graciela Gonzalez-Hernandez (npj Digit. Medicine, 2019)

Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets. - Yuting Guo; Xiangjue Dong; Mohammed Ali Al-Garadi; Abeed Sarker; Cécile Paris; Diego Mollá Aliod (ALTA, 2020)

Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification. - Yuting Guo; Mohammed Ali Al-Garadi; Abeed Sarker (W-NUT@EMNLP, 2020)

Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. - Mohammed Ali Al-Garadi; Yuan-Chi Yang; Sahithi Lakamana; Jie Lin; Sabrina Li; Angel Xie; Whitney Hogg-Bremer; Mylin Torres; Imon Banerjee; Abeed Sarker (AIME, 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)

A Light-Weight Text Summarization System for Fast Access to Medical Evidence. - Abeed Sarker; Yuan-Chi Yang; Mohammed Ali Al-Garadi; Aamir Abbas (Frontiers Digit. Health, 2020)

Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework. - Abeed Sarker; Annika DeRoos; Jeanmarie Perrone (J. Am. Medical Informatics Assoc., 2020)

Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource. - Abeed Sarker; Sahithi Lakamana; Whitney Hogg-Bremer; Angel Xie; Mohammed Ali Al-Garadi; Yuan-Chi Yang (J. Am. Medical Informatics Assoc., 2020)

An Ensemble Model for Automatic Grading of Evidence. - Yuting Guo; Yao Ge 003; Ruqi Liao; Abeed Sarker (ALTA, 2021)

Mining and characterizing long-COVID symptoms from self-reports on Reddit. - Yao Ge 003; Yuting Guo; Abeed Sarker (AMIA, 2021)

Tracking the COVID-19 outbreak in India via Twitter. - Sahithi Lakamana; Abeed Sarker (AMIA, 2021)

Obtaining insights about nonmedical use of prescription medications from social media via natural language processing. - Abeed Sarker (ICWSM Workshops, 2021)

Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications. - Yuting Guo; Yao Ge 003; Mohammed Ali Al-Garadi; Abeed Sarker (SMM4H@NAACL-HLT, 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)

LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts. - Abeed Sarker (Bioinform., 2021)

Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter. - Samah Jamal Fodeh; Mohammed Ali Al-Garadi; Osama Elsankary; Jeanmarie Perrone; William Becker; Abeed Sarker (Comput. Biol. Medicine, 2021)

Text classification models for the automatic detection of nonmedical prescription medication use from social media. - Mohammed Ali Al-Garadi; Yuan-Chi Yang; Haitao Cai; Yucheng Ruan; Karen O'Connor; Graciela Gonzalez-Hernandez; Jeanmarie Perrone; Abeed Sarker (BMC Medical Informatics Decis. Mak., 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)

A comparison of few-shot and traditional named entity recognition models for medical text. - Yao Ge 003; Yuting Guo; Yuan-Chi Yang; Mohammed Ali Al-Garadi; Abeed Sarker (ICHI, 2022)

Natural language model for automatic identification of Intimate Partner Violence reports from Twitter. - Mohammed Ali Al-Garadi; Sangmi Kim; Yuting Guo; Elise Warren; Yuan-Chi Yang; Sahithi Lakamana; Abeed Sarker (Array, 2022)

Few-shot learning for medical text: A systematic review. - Yao Ge 003; Yuting Guo; Yuan-Chi Yang; Mohammed Ali Al-Garadi; Abeed Sarker (CoRR, 2022)

Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work. - Abeed Sarker (CoRR, 2022)

Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. - Yuting Guo; Swati Rajwal; Sahithi Lakamana; Chia-Chun Chiang; Paul C. Menell; Adnan H. Shahid; Yi-Chieh Chen; Nikita Chhabra; Wan-Ju Chao; Chieh-Ju Chao; Todd J. Schwedt; Imon Banerjee; et al. (CoRR, 2022)

Deepluenza: Deep learning for influenza detection from Twitter. - Balsam Alkouz; Zaher Al Aghbari; Mohammed Ali Al-Garadi; Abeed Sarker (Expert Syst. Appl., 2022)

Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing. - Jeanne M. Powell; Yuting Guo; Abeed Sarker; J. Lucas McKay (AIME, 2023)

Data Augmentation with Nearest Neighbor Classifier for Few-Shot Named Entity Recognition. - Yao Ge 003; Mohammed Ali Al-Garadi; Abeed Sarker (MedInfo, 2023)

Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models. - Yuting Guo; Yao Ge 003; Abeed Sarker (MedInfo, 2023)

Few-shot learning for medical text: A review of advances, trends, and opportunities. - Yao Ge 003; Yuting Guo; Sudeshna Das 002; Mohammed Ali Al-Garadi; Abeed Sarker (J. Biomed. Informatics, 2023)

EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction. - Swati Rajwal; Eugene Agichtein; Abeed Sarker (ClinicalNLP@NAACL, 2024)

Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. - Seibi Kobara; Alireza Rafiei; Masoud Nateghi; Selen Bozkurt; Rishikesan Kamaleswaran; Abeed Sarker (AIME (1), 2024)

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters. - Seyedeh Somayyeh Mousavi; Yuting Guo; Chad Robichaux; Abeed Sarker; Reza Sameni (EMBC, 2024)

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters. - Seyedeh Somayyeh Mousavi; Yuting Guo; Abeed Sarker; Reza Sameni (CoRR, 2024)

Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature. - Yuting Guo; Seyedeh Somayyeh Mousavi; Reza Sameni; Abeed Sarker (CoRR, 2024)

CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation. - Drew Walker; Annie Thorne; Sudeshna Das 002; Jennifer Love; Hannah Cooper; Melvin Livingston III; Abeed Sarker (CoRR, 2024)

Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media. - Yao Ge 003; Sudeshna Das 002; Karen O'Connor; Mohammed Ali Al-Garadi; Graciela Gonzalez-Hernandez; Abeed Sarker (CoRR, 2024)

Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data. - Sudeshna Das 002; Yao Ge 003; Yuting Guo; Swati Rajwal; JaMor Hairston; Jeanne M. Powell; Drew Walker; Snigdha Peddireddy; Sahithi Lakamana; Selen Bozkurt; Matthew A. Reyna; Reza Sameni; et al. (CoRR, 2024)

Evaluating large language models for health-related text classification tasks with public social media data. - Yuting Guo; Anthony Ovadje; Mohammed Ali Al-Garadi; Abeed Sarker (J. Am. Medical Informatics Assoc., 2024)

Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. - Ari Z. Klein; Juan M. Banda; Yuting Guo; Ana Lucía Schmidt; Dongfang Xu; Ivan Flores Amaro; Raul Rodriguez-Esteban; Abeed Sarker; Graciela Gonzalez-Hernandez (J. Am. Medical Informatics Assoc., 2024)

MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction. - Xiang Dai; Sarvnaz Karimi; Abeed Sarker; Ben Hachey; Cécile Paris (J. Biomed. Informatics, 2024)

CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation. - Andrew L. Walker; Annie Thorne; Sudeshna Das 002; Jennifer Love; Hannah Cooper; Melvin Livingston III; Abeed Sarker (J. Am. Medical Informatics Assoc., 2025)

Large Language Models in Healthcare. - Mohammed Ali Al-Garadi; Tushar Mungle; Abdulaziz Ahmed; Abeed Sarker; Zhuqi Miao; Michael E. Matheny (CoRR, 2025)

HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models. - Yao Ge 003; Yuting Guo; Sudeshna Das 002; Swati Rajwal; Selen Bozkurt; Abeed Sarker (CoRR, 2025)

Comparing Llama3 and DeepSeekR1 on Biomedical Text Classification Tasks. - Yuting Guo; Abeed Sarker (CoRR, 2025)

Leveraging large language models and traditional machine learning ensembles for ADHD detection from narrative transcripts. - Yuxin Zhu; Yuting Guo; Noah Marchuck; Abeed Sarker; Yun Wang (CoRR, 2025)

Identifying social isolation themes in NVDRS text narratives using topic modeling and text-classification methods. - Drew Walker; Swati Rajwal; Sudeshna Das 002; Snigdha Peddireddy; Abeed Sarker (CoRR, 2025)

Application of CARE-SD text classifier tools to assess distribution of stigmatizing and doubt-marking language features in EHR. - Drew Walker; Jennifer Love; Swati Rajwal; Isabel C. Walker; Hannah Cooper; Abeed Sarker; Melvin Livingston III (CoRR, 2025)

Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case. - JaMor Hairston; Ritvik Ranjan; Sahithi Lakamana; Anthony Spadaro; Selen Bozkurt; Jeanmarie Perrone; Abeed Sarker (CoRR, 2025)

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models. - Yao Ge 003; Sudeshna Das 002; Yuting Guo; Abeed Sarker (CoRR, 2025)