Abeed Sarker
Orcid: 0000-0001-7358-544X
According to our database1,
Abeed Sarker
authored at least 78 papers
between 2010 and 2024.
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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.
CoRR, 2024
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing.
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
2023
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
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
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
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
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
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
npj Digit. Medicine, 2019
Multimodal Technol. Interact., 2019
An interpretable natural language processing system for written medical examination assessment.
J. Biomed. Informatics, 2019
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
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
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
Soc. Netw. Anal. Min., 2017
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
Lang. Resour. Evaluation, 2016
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
CoRR, 2016
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
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining, 2016
2015
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
Artif. Intell. Medicine, 2015
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015
2014
Proceedings of the AMIA 2014, 2014
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
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
Proceedings of the Australasian Language Technology Association Workshop 2011, 2011
Proceedings of the Australasian Language Technology Association Workshop 2011, 2011
2010
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010