Abeed Sarker

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Towards scaling Twitter for digital epidemiology of birth defects pdf

Ari Z. Klein, Abeed Sarker, Davy Weissenbacher, 2018, npj Digital Medicine.

Automatic Grading of Evidence: the 2011 ALTA Shared Task

Diego Mollá Aliod, Abeed Sarker, 2011, ALTA.

An Approach for Query-Focused Text Summarisation for Evidence Based Medicine

Cécile Paris, Diego Mollá Aliod, Abeed Sarker, 2013, AIME.

An Approach for automatic multi-label classification of medical sentences

Cecile Paris, Abeed Sarker, Diego Mollá-Aliod, 2013 .

Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction

Abeed Sarker, Leonard G. C. Hamey, Len Hamey, 2010, 2010 International Conference on Digital Image Computing: Techniques and Applications.

DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter

Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez, 2015, SemEval@NAACL-HLT.

Outcome Polarity Identification of Medical Papers

Cécile Paris, Diego Mollá Aliod, Abeed Sarker, 2011, ALTA.

An Analysis of a Twitter Corpus for Training a Medication Intake Classifier.

Abeed Sarker, Graciela Gonzalez-Hernandez, Karen O'Connor, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

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

Abeed Sarker, Graciela Gonzalez, A. Sarker, 2017, SMM4H@AMIA.

Towards Two-step Multi-document Summarisation for Evidence Based Medicine: A Quantitative Analysis

Cécile Paris, Diego Mollá Aliod, Abeed Sarker, 2012, ALTA.

Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018

Michael J. Paul, Abeed Sarker, Davy Weissenbacher, 2018, EMNLP 2018.

Finding Potentially Unsafe Nutritional Supplements from User Reviews with Topic Modeling

Abeed Sarker, Graciela Gonzalez, Ryan Sullivan, 2016, PSB.

An interpretable natural language processing system for written medical examination assessment

Ari Z. Klein, Abeed Sarker, Graciela Gonzalez-Hernandez, 2019, J. Biomed. Informatics.

Automated text summarisation and evidence-based medicine: A survey of two domains pdf

Cécile Paris, Diego Mollá Aliod, Abeed Sarker, 2017, ArXiv.

Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine pdf

Abeed Sarker, Graciela Gonzalez, Abbas Chokor, 2016, ArXiv.

HLP$@$UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors

Abeed Sarker, Graciela Gonzalez, 2017, SemEval@ACL.

Data, tools and resources for mining social media drug chatter

Abeed Sarker, Graciela Gonzalez, 2016, BioTxtM@COLING 2016.

A customizable pipeline for social media text normalization

Abeed Sarker, A. Sarker, 2017, Social Network Analysis and Mining.

A rule-based approach for automatic identification of publication types of medical papers

Abeed Sarker, Diego Mollá-Aliod, 2010, ADCS 2010.

Impact of Citing Papers for Summarisation of Clinical Documents

Diego Mollá Aliod, Abeed Sarker, Christopher Jones, 2014, ALTA.

Portable automatic text classification for adverse drug reaction detection via multi-corpus training

Abeed Sarker, Graciela Gonzalez, A. Sarker, 2015, J. Biomed. Informatics.

Deep neural networks ensemble for detecting medication mentions in tweets

Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez, 2019, J. Am. Medical Informatics Assoc..

Social media mining for identification and exploration of health-related information from pregnant women pdf

Abeed Sarker, Arjun Magge, Graciela Gonzalez, 2017, ArXiv.

Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”

Abeed Sarker, Graciela Gonzalez-Hernandez, Azadeh Nikfarjam, 2019, J. Am. Medical Informatics Assoc..

DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons

Abeed Sarker, Graciela Gonzalez, A. Sarker, 2016, *SEMEVAL.

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, Davy Weissenbacher, 2018, J. Biomed. Informatics.

Towards Automatic Bot Detection in Twitter for Health-related Tasks

Ari Z. Klein, Abeed Sarker, Graciela Gonzalez-Hernandez, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification

Cécile Paris, Diego Mollá Aliod, Abeed Sarker, 2013, IJCNLP.

A corpus for research in text processing for evidence based medicine

Cécile Paris, Diego Mollá Aliod, Abeed Sarker, 2016, Lang. Resour. Evaluation.

Towards automatic grading of evidence

Cecile Paris, Abeed Sarker, Diego Mollá-Aliod, 2010 .

Automatic evidence quality prediction to support evidence-based decision making

Cécile Paris, Diego Mollá Aliod, Abeed Sarker, 2015, Artif. Intell. Medicine.

Social Media Mining Shared Task Workshop

Abeed Sarker, Graciela Gonzalez-Hernandez, Azadeh Nikfarjam, 2016, PSB.

A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings

Abeed Sarker, Arjun Magge, Masoud Rouhizadeh, 2018, DH.

Towards scaling Twitter for digital epidemiology of birth defects

Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez, 2019, npj Digital Medicine.

Extractive evidence based medicine summarisation based on sentence-specific statistics

Cécile Paris, Diego Mollá Aliod, Abeed Sarker, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

Abeed Sarker, Graciela Gonzalez-Hernandez, Rachel E. Ginn, 2015, J. Am. Medical Informatics Assoc..

A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities

Abeed Sarker, Graciela Gonzalez, A. Sarker, 2016, Data in brief.

Automated Extraction of Number of Subjects in Randomised Controlled Trials pdf

Abeed Sarker, 2016, ArXiv.

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis

Abeed Sarker, Arjun Magge, Graciela Gonzalez, 2017, Journal of medical Internet research.

Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework

Abeed Sarker, Jeanmarie Perrone, Annika DeRoos, 2019, J. Am. Medical Informatics Assoc..

Deep neural networks and distant supervision for geographic location mention extraction

Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez, 2018, Bioinform..

Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology

Abeed Sarker, Graciela Gonzalez-Hernandez, Azadeh Nikfarjam, 2017, AMIA.

Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature

Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez, 2019, PSB.

Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System

Abeed Sarker, Masoud Rouhizadeh, Graciela Gonzalez, 2017, BioNLP.

Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications

Abeed Sarker, Yuting Guo, Yao Ge, 2021, SMM4H.

Text classification models for the automatic detection of nonmedical prescription medication use from social media

Abeed Sarker, Karen O’Connor, Mohammed Ali Al-Garadi, 2021, BMC Medical Informatics and Decision Making.

Extracting geographic locations from the literature for virus phylogeography using supervised and distant supervision methods

Abeed Sarker, Davy Weissenbacher, Matthew Scotch, 2017, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Extractive summarisation of medical documents using domain knowledge and corpus statistics.

Cecile Paris, Abeed Sarker, Diego Mollá, 2012, The Australasian medical journal.