Abeed Sarker

Orcid: 0000-0001-7358-544X

According to our database1, Abeed Sarker authored at least 83 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium.
J. Am. Medical Informatics Assoc., 2024

Evaluating large language models for health-related text classification tasks with public social media data.
J. Am. Medical Informatics Assoc., 2024

Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data.
CoRR, 2024

MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction.
CoRR, 2024

Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media.
CoRR, 2024

CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation.
CoRR, 2024

Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature.
CoRR, 2024

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters.
CoRR, 2024

Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
Few-shot learning for medical text: A review of advances, trends, and opportunities.
J. Biomed. Informatics, August, 2023

Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Data Augmentation with Nearest Neighbor Classifier for Few-Shot Named Entity Recognition.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing.
Proceedings of the Artificial Intelligence in Medicine, 2023

2022
Deepluenza: Deep learning for influenza detection from Twitter.
Expert Syst. Appl., 2022

Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media.
CoRR, 2022

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

Few-shot learning for medical text: A systematic review.
CoRR, 2022

Natural language model for automatic identification of Intimate Partner Violence reports from Twitter.
Array, 2022

A comparison of few-shot and traditional named entity recognition models for medical text.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 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
Text classification models for the automatic detection of nonmedical prescription medication use from social media.
BMC Medical Informatics Decis. Mak., 2021

Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter.
Comput. Biol. Medicine, 2021

LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts.
Bioinform., 2021

Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

Obtaining insights about nonmedical use of prescription medications from social media via natural language processing.
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Tracking the COVID-19 outbreak in India via Twitter.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Mining and characterizing long-COVID symptoms from self-reports on Reddit.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource.
J. Am. Medical Informatics Assoc., 2020

Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework.
J. Am. Medical Informatics Assoc., 2020

A Light-Weight Text Summarization System for Fast Access to Medical Evidence.
Frontiers Digit. Health, 2020

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

Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes.
Proceedings of the Artificial Intelligence in Medicine, 2020

Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019
Towards scaling Twitter for digital epidemiology of birth defects.
npj Digit. Medicine, 2019

Data-Driven Lexical Normalization for Medical Social Media.
Multimodal Technol. Interact., 2019

An interpretable natural language processing system for written medical examination assessment.
J. Biomed. Informatics, 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

Towards Automatic Bot Detection in Twitter for Health-related Tasks.
CoRR, 2019

Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019.
Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 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

Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018
An unsupervised and customizable misspelling generator for mining noisy health-related text sources.
J. Biomed. Informatics, 2018

Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter.
J. Biomed. Informatics, 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.
J. Am. Medical Informatics Assoc., 2018

Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research.
CoRR, 2018

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

Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018.
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

Session Introduction.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 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
A customizable pipeline for social media text normalization.
Soc. Netw. Anal. Min., 2017

Automated text summarisation and evidence-based medicine: A survey of two domains.
CoRR, 2017

Social media mining for identification and exploration of health-related information from pregnant women.
CoRR, 2017

HLP$@$UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017.
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

Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.
Proceedings of the AMIA 2017, 2017

2016
A corpus for research in text processing for evidence based medicine.
Lang. Resour. Evaluation, 2016

Query-oriented evidence extraction to support evidence-based medicine practice.
J. Biomed. Informatics, 2016

Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts.
J. Biomed. Informatics, 2016

Automated Extraction of Number of Subjects in Randomised Controlled Trials.
CoRR, 2016

Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine.
CoRR, 2016

DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Finding Potentially Unsafe Nutritional Supplements from User Reviews with Topic Modeling.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Social Media Mining Shared Task Workshop.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Session Introduction.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Data, tools and resources for mining social media drug chatter.
Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining, 2016

2015
Utilizing social media data for pharmacovigilance: A review.
J. Biomed. Informatics, 2015

Portable automatic text classification for adverse drug reaction detection via multi-corpus training.
J. Biomed. Informatics, 2015

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.
J. Am. Medical Informatics Assoc., 2015

Automatic evidence quality prediction to support evidence-based decision making.
Artif. Intell. Medicine, 2015

DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

2014
Pharmacovigilance on Twitter? Mining Tweets for Adverse Drug Reactions.
Proceedings of the AMIA 2014, 2014

Impact of Citing Papers for Summarisation of Clinical Documents.
Proceedings of the Australasian Language Technology Association Workshop, 2014

2013
Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

An Approach for Query-Focused Text Summarisation for Evidence Based Medicine.
Proceedings of the Artificial Intelligence in Medicine, 2013

2012
Extractive evidence based medicine summarisation based on sentence-specific statistics.
Proceedings of CBMS 2012, 2012

Towards Two-step Multi-document Summarisation for Evidence Based Medicine: A Quantitative Analysis.
Proceedings of the Australasian Language Technology Association Workshop, 2012

2011
Outcome Polarity Identification of Medical Papers.
Proceedings of the Australasian Language Technology Association Workshop 2011, 2011

Automatic Grading of Evidence: the 2011 ALTA Shared Task.
Proceedings of the Australasian Language Technology Association Workshop 2011, 2011

2010
Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010


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