Abeed Sarker - RankMe

109 papers B 5Misc 16Journal 61Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM-Augmented Therapy Normalization and Aspect-Based Sentiment Analysis for Treatment-Resistant Depression on Reddit. CoRR Yuxin Zhu, Sahithi Lakamana, Masoud Rouhizadeh, Selen Bozkurt, Rachel Hershenberg, Abeed Sarker
2026	J	`jnl`	Patient-Centered, Graph-Augmented Artificial Intelligence-Enabled Passive Surveillance for Early Stroke Risk Detection in High-Risk Individuals. CoRR Jiyeong Kim, Stephen P. Ma, Nirali Vora, Nicholas W. Larsen, Julia Adler-Milstein, Jonathan H. Chen, Selen Bozkurt, Abeed Sarker, Juhee Cho, Jindeok Joo, Natalie Pageler, Fátima Rodriguez, Christopher D. Sharp, Eleni Linos
2025	J	`jnl`	Application of CARE-SD text classifier tools to assess distribution of stigmatizing and doubt-marking language features in EHR. CoRR Drew Walker, Jennifer Love, Swati Rajwal, Isabel C. Walker, Hannah Cooper, Abeed Sarker, Melvin Livingston III
2025	J	`jnl`	Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case. CoRR JaMor Hairston, Ritvik Ranjan, Sahithi Lakamana, Anthony Spadaro, Selen Bozkurt, Jeanmarie Perrone, Abeed Sarker
2025	—	`conf`	Bridging AI, NLP, and Digital Health: A Bi-Directional Learning Experience at Emory University. MedInfo Chukwuemeka Ifechelobi, Sudeshna Das, Yuting Guo, Swati Rajwal, Yao Ge, Olabanjo Okunlola Ogunsola, Oluseye Ayodele Ajayi, Lisa Flowers, Abeed Sarker
2025	J	`jnl`	CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation. J. Am. Medical Informatics Assoc. Andrew L. Walker, Annie Thorne, Sudeshna Das, Jennifer Love, Hannah Cooper, Melvin Livingston III, Abeed Sarker
2025	J	`jnl`	Comparing Llama3 and DeepSeekR1 on Biomedical Text Classification Tasks. CoRR Yuting Guo, Abeed Sarker
2025	J	`jnl`	HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models. CoRR Yao Ge, Yuting Guo, Sudeshna Das, Swati Rajwal, Selen Bozkurt, Abeed Sarker
2025	J	`jnl`	Identifying social isolation themes in NVDRS text narratives using topic modeling and text-classification methods. CoRR Drew Walker, Swati Rajwal, Sudeshna Das, Snigdha Peddireddy, Abeed Sarker
2025	J	`jnl`	Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset. CoRR Sumon Kanti Dey, Jeanne M. Powell, Azra Ismail, Jeanmarie Perrone, Abeed Sarker
2025	J	`jnl`	Large Language Models in Healthcare. CoRR Mohammed Ali Al-Garadi, Tushar Mungle, Abdulaziz Ahmed, Abeed Sarker, Zhuqi Miao, Michael E. Matheny
2025	J	`jnl`	Leveraging few-shot learning and large language models for analyzing blood pressure variations across biological sex from scientific literature. Comput. Biol. Medicine Yuting Guo, Seyedeh Somayyeh Mousavi, Yao Ge, Madhumita Baskaran, Reza Sameni, Abeed Sarker
2025	J	`jnl`	Leveraging large language models and traditional machine learning ensembles for ADHD detection from narrative transcripts. CoRR Yuxin Zhu, Yuting Guo, Noah Marchuck, Abeed Sarker, Yun Wang
2025	J	`jnl`	Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models. CoRR Yao Ge, Sudeshna Das, Yuting Guo, Abeed Sarker
2024	J	`jnl`	CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation. CoRR Drew Walker, Annie Thorne, Sudeshna Das, Jennifer Love, Hannah Cooper, Melvin Livingston III, Abeed Sarker
2024	—	`conf`	EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction. ClinicalNLP@NAACL Swati Rajwal, Eugene Agichtein, Abeed Sarker
2024	J	`jnl`	Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data. CoRR Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi, Abeed Sarker
2024	J	`jnl`	Evaluating large language models for health-related text classification tasks with public social media data. J. Am. Medical Informatics Assoc. Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi, Abeed Sarker
2024	—	`conf`	Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters. EMBC Seyedeh Somayyeh Mousavi, Yuting Guo, Chad Robichaux, Abeed Sarker, Reza Sameni
2024	J	`jnl`	Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters. CoRR Seyedeh Somayyeh Mousavi, Yuting Guo, Abeed Sarker, Reza Sameni
2024	J	`jnl`	Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature. CoRR Yuting Guo, Seyedeh Somayyeh Mousavi, Reza Sameni, Abeed Sarker
2024	J	`jnl`	MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction. CoRR Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris
2024	J	`jnl`	MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction. J. Biomed. Informatics Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris
2024	J	`jnl`	Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. J. Am. Medical Informatics Assoc. Ari Z. Klein, Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez
2024	J	`jnl`	Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media. CoRR Yao Ge, Sudeshna Das, Karen O'Connor, Mohammed Ali Al-Garadi, Graciela Gonzalez-Hernandez, Abeed Sarker
2024	—	`conf`	Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. AIME (1) Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
2024	J	`jnl`	Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. CoRR Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
2024	J	`jnl`	Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data. CoRR Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne M. Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew A. Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker
2023	B	`conf`	Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing. AIME Jeanne M. Powell, Yuting Guo, Abeed Sarker, J. Lucas McKay
2023	—	`conf`	Data Augmentation with Nearest Neighbor Classifier for Few-Shot Named Entity Recognition. MedInfo Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker
2023	—	`conf`	Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models. MedInfo Yuting Guo, Yao Ge, Abeed Sarker
2023	J	`jnl`	Few-shot learning for medical text: A review of advances, trends, and opportunities. J. Biomed. Informatics Yao Ge, Yuting Guo, Sudeshna Das, Mohammed Ali Al-Garadi, Abeed Sarker
2022	—	`conf`	A comparison of few-shot and traditional named entity recognition models for medical text. ICHI Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
2022	J	`jnl`	Deepluenza: Deep learning for influenza detection from Twitter. Expert Syst. Appl. Balsam Alkouz, Zaher Al Aghbari, Mohammed Ali Al-Garadi, Abeed Sarker
2022	J	`jnl`	Few-shot learning for medical text: A systematic review. CoRR Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
2022	J	`jnl`	Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. CoRR 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, Abeed Sarker
2022	J	`jnl`	Natural language model for automatic identification of Intimate Partner Violence reports from Twitter. Array Mohammed Ali Al-Garadi, Sangmi Kim, Yuting Guo, Elise Warren, Yuan-Chi Yang, Sahithi Lakamana, Abeed Sarker
2022	—	`conf`	Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. SMM4H@COLING Davy Weissenbacher, Juan M. Banda, Vera Davydova, Darryl Estrada-Zavala, Luis Gascó Sánchez, Yao Ge, Yuting Guo, Ari Z. Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Ana Lucía Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez
2022	J	`jnl`	Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work. CoRR Abeed Sarker
2021	Misc	`conf`	An Ensemble Model for Automatic Grading of Evidence. ALTA Yuting Guo, Yao Ge, Ruqi Liao, Abeed Sarker
2021	J	`jnl`	LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts. Bioinform. Abeed Sarker
2021	Misc	`conf`	Mining and characterizing long-COVID symptoms from self-reports on Reddit. AMIA Yao Ge, Yuting Guo, Abeed Sarker
2021	—	`conf`	Obtaining insights about nonmedical use of prescription medications from social media via natural language processing. ICWSM Workshops Abeed Sarker
2021	—	`conf`	Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. SMM4H@NAACL-HLT 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, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
2021	—	`conf`	Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications. SMM4H@NAACL-HLT Yuting Guo, Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker
2021	—	`ed.`	Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, SMM4H@NAACL-HLT 2021, Mexico City, Mexico, June 10, 2021 SMM4H@NAACL-HLT Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré-Maduell, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
2021	J	`jnl`	Text classification models for the automatic detection of nonmedical prescription medication use from social media. BMC Medical Informatics Decis. Mak. Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O'Connor, Graciela Gonzalez-Hernandez, Jeanmarie Perrone, Abeed Sarker
2021	Misc	`conf`	Tracking the COVID-19 outbreak in India via Twitter. AMIA Sahithi Lakamana, Abeed Sarker
2021	J	`jnl`	Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter. Comput. Biol. Medicine Samah Jamal Fodeh, Mohammed Ali Al-Garadi, Osama Elsankary, Jeanmarie Perrone, William Becker, Abeed Sarker
2020	J	`jnl`	A Light-Weight Text Summarization System for Fast Access to Medical Evidence. Frontiers Digit. Health Abeed Sarker, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Aamir Abbas
2020	B	`conf`	Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. AIME Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker
2020	Misc	`conf`	Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets. ALTA Yuting Guo, Xiangjue Dong, Mohammed Ali Al-Garadi, Abeed Sarker, Cécile Paris, Diego Mollá Aliod
2020	—	`conf`	Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification. W-NUT@EMNLP Yuting Guo, Mohammed Ali Al-Garadi, Abeed Sarker
2020	J	`jnl`	Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework. J. Am. Medical Informatics Assoc. Abeed Sarker, Annika DeRoos, Jeanmarie Perrone
2020	—	`conf`	Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020. SMM4H@COLING 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
2020	—	`ed.`	Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, SMM4H@COLING 2020, Barcelona, Spain (Online), December 12, 2020 SMM4H@COLING Graciela Gonzalez-Hernandez, Ari Z. Klein, Ivan Flores, Davy Weissenbacher, Arjun Magge, Karen O'Connor, Abeed Sarker, Anne-Lyse Minard, Elena Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova
2020	J	`jnl`	Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource. J. Am. Medical Informatics Assoc. Abeed Sarker, Sahithi Lakamana, Whitney Hogg-Bremer, Angel Xie, Mohammed Ali Al-Garadi, Yuan-Chi Yang
2019	J	`jnl`	An interpretable natural language processing system for written medical examination assessment. J. Biomed. Informatics Abeed Sarker, Ari Z. Klein, Janet Mee, Polina Harik, Graciela Gonzalez-Hernandez
2019	Misc	`conf`	Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature. PSB Arjun Magge, Davy Weissenbacher, Abeed Sarker, Matthew Scotch, Graciela Gonzalez-Hernandez
2019	J	`jnl`	Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts". J. Am. Medical Informatics Assoc. Arjun Magge, Abeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez-Hernandez
2019	J	`jnl`	Data-Driven Lexical Normalization for Medical Social Media. Multimodal Technol. Interact. Anne Dirkson, Suzan Verberne, Abeed Sarker, Wessel Kraaij
2019	J	`jnl`	Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets. CoRR Davy Weissenbacher, Abeed Sarker, Ari Z. Klein, Karen O'Connor, Arjun Magge Ranganatha, Graciela Gonzalez-Hernandez
2019	J	`jnl`	Deep neural networks ensemble for detecting medication mentions in tweets. J. Am. Medical Informatics Assoc. Davy Weissenbacher, Abeed Sarker, Ari Z. Klein, Karen O'Connor, Arjun Magge, Graciela Gonzalez-Hernandez
2019	—	`conf`	Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019. SMM4H@ACL Davy Weissenbacher, Abeed Sarker, Arjun Magge, Ashlynn R. Daughton, Karen O'Connor, Michael J. Paul, Graciela Gonzalez-Hernandez
2019	J	`jnl`	Towards Automatic Bot Detection in Twitter for Health-related Tasks. CoRR Anahita Davoudi, Ari Z. Klein, Abeed Sarker, Graciela Gonzalez-Hernandez
2019	—	`conf`	Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods. MedInfo Abeed Sarker, Graciela Gonzalez-Hernandez, Jeanmarie Perrone
2019	J	`jnl`	Towards scaling Twitter for digital epidemiology of birth defects. npj Digit. Medicine Ari Z. Klein, Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez
2018	—	`conf`	A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings. DH Masoud Rouhizadeh, Arjun Magge, Ari Z. Klein, Abeed Sarker, Graciela Gonzalez
2018	J	`jnl`	An unsupervised and customizable misspelling generator for mining noisy health-related text sources. CoRR Abeed Sarker, Graciela Gonzalez-Hernandez
2018	J	`jnl`	An unsupervised and customizable misspelling generator for mining noisy health-related text sources. J. Biomed. Informatics Abeed Sarker, Graciela Gonzalez-Hernandez
2018	J	`jnl`	Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research. CoRR Ari Z. Klein, Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez
2018	J	`jnl`	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. Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez
2018	J	`jnl`	Deep neural networks and distant supervision for geographic location mention extraction. Bioinform. Arjun Magge, Davy Weissenbacher, Abeed Sarker, Matthew Scotch, Graciela Gonzalez-Hernandez
2018	—	`conf`	Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018. SMM4H@EMNLP Davy Weissenbacher, Abeed Sarker, Michael J. Paul, Graciela Gonzalez-Hernandez
2018	—	`ed.`	Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, SMM4H@EMNLP 2018, Brussels, Belgium, October 31, 2018 SMM4H@EMNLP Graciela Gonzalez-Hernandez, Davy Weissenbacher, Abeed Sarker, Michael J. Paul
2018	Misc	`conf`	Session Introduction. PSB Graciela Gonzalez-Hernandez, Abeed Sarker, Karen O'Connor, Casey S. Greene, Hongfang Liu
2018	J	`jnl`	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 Ari Z. Klein, Abeed Sarker, Haitao Cai, Davy Weissenbacher, Graciela Gonzalez-Hernandez
2017	J	`jnl`	A customizable pipeline for social media text normalization. Soc. Netw. Anal. Min. Abeed Sarker
2017	J	`jnl`	Automated text summarisation and evidence-based medicine: A survey of two domains. CoRR Abeed Sarker, Diego Mollá Aliod, Cécile Paris
2017	—	`conf`	Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System. BioNLP Ari Z. Klein, Abeed Sarker, Masoud Rouhizadeh, Karen O'Connor, Graciela Gonzalez
2017	—	`conf`	HLP$@$UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors. SemEval@ACL Abeed Sarker, Graciela Gonzalez
2017	Misc	`conf`	Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology. AMIA Ehsan Emadzadeh, Abeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez-Hernandez
2017	—	`conf`	Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017. SMM4H@AMIA Abeed Sarker, Graciela Gonzalez
2017	—	`ed.`	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), Washington D.C., United States, November 4, 2017. SMM4H@AMIA Abeed Sarker, Graciela Gonzalez
2017	J	`jnl`	Social media mining for identification and exploration of health-related information from pregnant women. CoRR Pramod Bharadwaj Chandrashekar, Arjun Magge, Abeed Sarker, Graciela Gonzalez
2016	J	`jnl`	A corpus for research in text processing for evidence based medicine. Lang. Resour. Evaluation Diego Mollá, María Elena Santiago-Martínez, Abeed Sarker, Cécile Paris
2016	J	`jnl`	Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. J. Biomed. Informatics Ioannis Korkontzelos, Azadeh Nikfarjam, Matthew Shardlow, Abeed Sarker, Sophia Ananiadou, Graciela Gonzalez-Hernandez
2016	J	`jnl`	Automated Extraction of Number of Subjects in Randomised Controlled Trials. CoRR Abeed Sarker
2016	—	`conf`	Data, tools and resources for mining social media drug chatter. BioTxtM@COLING 2016 Abeed Sarker, Graciela Gonzalez
2016	—	`conf`	DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons. SemEval@NAACL-HLT Abeed Sarker, Graciela Gonzalez
2016	Misc	`conf`	Finding Potentially Unsafe Nutritional Supplements from User Reviews with Topic Modeling. PSB Ryan Sullivan, Abeed Sarker, Karen O'Connor, Amanda Goodin, Mark Karlsrud, Graciela Gonzalez
2016	J	`jnl`	Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine. CoRR Abbas Chokor, Abeed Sarker, Graciela Gonzalez
2016	J	`jnl`	Query-oriented evidence extraction to support evidence-based medicine practice. J. Biomed. Informatics Abeed Sarker, Diego Mollá, Cécile Paris
2016	Misc	`conf`	Session Introduction. PSB Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez-Hernandez
2016	Misc	`conf`	Social Media Mining Shared Task Workshop. PSB Abeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez-Hernandez
2015	J	`jnl`	Automatic evidence quality prediction to support evidence-based decision making. Artif. Intell. Medicine Abeed Sarker, Diego Mollá, Cécile Paris
2015	—	`conf`	DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter. SemEval@NAACL-HLT Abeed Sarker, Azadeh Nikfarjam, Davy Weissenbacher, Graciela Gonzalez-Hernandez
2015	J	`jnl`	Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features. J. Am. Medical Informatics Assoc. Azadeh Nikfarjam, Abeed Sarker, Karen O'Connor, Rachel E. Ginn, Graciela Gonzalez-Hernandez
2015	J	`jnl`	Portable automatic text classification for adverse drug reaction detection via multi-corpus training. J. Biomed. Informatics Abeed Sarker, Graciela Gonzalez
2015	J	`jnl`	Utilizing social media data for pharmacovigilance: A review. J. Biomed. Informatics Abeed Sarker, Rachel E. Ginn, Azadeh Nikfarjam, Karen O'Connor, Karen L. Smith, Swetha Jayaraman, Tejaswi Upadhaya, Graciela Gonzalez-Hernandez
2014	Misc	`conf`	Impact of Citing Papers for Summarisation of Clinical Documents. ALTA Diego Mollá Aliod, Christopher Jones, Abeed Sarker
2014	Misc	`conf`	Pharmacovigilance on Twitter? Mining Tweets for Adverse Drug Reactions. AMIA Karen O'Connor, Azadeh Nikfarjam, Rachel E. Ginn, Pranoti Pimpalkhute, Abeed Sarker, Karen L. Smith, Graciela Gonzalez-Hernandez
2013	B	`conf`	An Approach for Query-Focused Text Summarisation for Evidence Based Medicine. AIME Abeed Sarker, Diego Mollá, Cécile Paris
2013	B	`conf`	Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification. IJCNLP Abeed Sarker, Diego Mollá Aliod, Cécile Paris
2012	B	`conf`	Extractive evidence based medicine summarisation based on sentence-specific statistics. CBMS Abeed Sarker, Diego Mollá, Cécile Paris
2012	Misc	`conf`	Towards Two-step Multi-document Summarisation for Evidence Based Medicine: A Quantitative Analysis. ALTA Abeed Sarker, Diego Mollá Aliod, Cécile Paris
2011	Misc	`conf`	Automatic Grading of Evidence: the 2011 ALTA Shared Task. ALTA Diego Mollá, Abeed Sarker
2011	Misc	`conf`	Outcome Polarity Identification of Medical Papers. ALTA Abeed Sarker, Diego Mollá, Cécile Paris
2010	Misc	`conf`	Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction. DICTA Abeed Sarker, Leonard G. C. Hamey